{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Yearly consumption and production patterns\n",
    "\n",
    "An exploration of the yearly pattern of each customer, i.e. when daily data is aggregated (daily mean, min, max, quantiles...).\n",
    "\n",
    "The objective is to find a \"typical customer\", that is one with\n",
    "a \"typical\" consumption, and and \"typical production\" (e.g. no production gap).\n",
    "\n",
    "Also, need to define statistical indices to quantify the degree of \"typicalness\":\n",
    "\n",
    "* typical yearly pattern\n",
    "* typical daily pattern, (yearly or for each season)\n",
    "* absence of production gap\n",
    "\n",
    "\n",
    "PH June 2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import solarhome as sh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_raw = sh.read_csv('2011-2012')\n",
    "df, missing_rec = sh.reshape(df_raw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " (296, 'CL', 0),\n",
       " (298, 'CL', 0),\n",
       " (299, 'CL', 0)]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_rec"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Yearly pattern graph, for each customer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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I9Y9dG2gzxBjmutgGjmusC69H9cAjlprYGEmEnfSO1BtWRr15KUPZI0Bc+01M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\n/wG0nAkkPsGlAwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25d63362e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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5ZrbMzOYA64B74jOY2VLgc8Bb3P2p2PQTzWxe9DdwCfCtDJZRRERakHpzk7sf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\npCQhIiKJlCRERCSRkoSIiCT6/wL6kYEDZoiyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25d6047d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_daily_stats(s, ax, with_envel=True, **plt_kwargs):\n",
    "    '''plot stats (daily envelope and weekly mean) of Series `s`\n",
    "    within axes `ax`\n",
    "    '''\n",
    "    d_m = s.resample('1D').mean()\n",
    "    w_m = s.resample('1W').mean()\n",
    "    \n",
    "    if with_envel:\n",
    "        d_min = s.resample('1D').min()\n",
    "        d_q10 = s.resample('1D').apply(lambda x: x.quantile(0.10))\n",
    "        d_q90 = s.resample('1D').apply(lambda x: x.quantile(0.90))\n",
    "        d_max = s.resample('1D').max()\n",
    "        \n",
    "        ax.fill_between(d_min.index, d_min, d_max, alpha=0.3, lw=0, **plt_kwargs)\n",
    "        ax.fill_between(d_min.index, d_q10, d_q90, alpha=0.3, lw=0, **plt_kwargs)\n",
    "        \n",
    "        ax.set_ylim(0, ymax=s.quantile(0.99)*1.2)\n",
    "    else:\n",
    "        ax.plot(d_m, lw=0.5, drawstyle='steps-pre', color='k', alpha=0.3)\n",
    "        \n",
    "        ax.set_ylim(ymin=0)\n",
    "    \n",
    "    #ax.plot(d_m, **plt_kwargs, alpha=0.5, lw=2)\n",
    "    ax.plot(w_m, drawstyle='steps-pre', **plt_kwargs)\n",
    "    \n",
    "    ax.set_xlim(s.index[0], s.index[-1])\n",
    "    \n",
    "    plt.xticks(rotation=30, ha='right')\n",
    "\n",
    "# Test\n",
    "ax = plt.gca()\n",
    "plot_daily_stats(df.loc[:,11]['GC'], ax, color='C0')\n",
    "\n",
    "plt.figure()\n",
    "ax = plt.gca()\n",
    "plot_daily_stats(df.loc[:,11]['GC'], ax, with_envel=False, color='C0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def year_overview(c, with_envel=True):\n",
    "    '''yearly overview of customer `c` with mean and enveloppe\n",
    "    '''\n",
    "    dfc = df.loc[:,c]\n",
    "    \n",
    "    cons = dfc['GC']\n",
    "    prod = dfc['GG']\n",
    "    \n",
    "    if 'CL' not in dfc.columns:\n",
    "        fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True, figsize=(6,4))\n",
    "        plot_daily_stats(cons, ax1, with_envel, color='C0')\n",
    "        plot_daily_stats(prod, ax2, with_envel, color='C1')\n",
    "        \n",
    "        ax1.set_ylabel('load (kW)')\n",
    "        ax2.set_ylabel('prod (kW)')\n",
    "        \n",
    "    else:\n",
    "        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, sharex=True, figsize=(6,5.5))\n",
    "        plot_daily_stats(cons, ax1, with_envel, color='C0')\n",
    "        plot_daily_stats(dfc['CL'], ax2, with_envel, color='C2')\n",
    "        plot_daily_stats(prod, ax3, with_envel, color='C1')\n",
    "        \n",
    "        ax1.set_ylabel('load (kW)')\n",
    "        ax2.set_ylabel('c. load (kW)')\n",
    "        ax3.set_ylabel('prod (kW)')\n",
    "    \n",
    "    ax1.set_title('Customer {:d} in 2011-2012'.format(c))\n",
    "    fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test with a customer without controlled load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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3315970rwHnZnNjVMqM2/XGlQAKbnQQGW+DttyVgbstSqSk0+DN14Yso/mSGwia5JwjcJ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qY+KHtOo0RdZPMPyAtUnTzq7d8U4H2vHG3WhWjQrm+0jMzqBKUASIOr0jbcvjoalAhivUBN24Ta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\npsSq41NTf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+GYVDdzv6va1de29/yWUbU7YH5/vfp+5GOu07a6DyMd94A2rwVwtf17L4Bz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25d5f88c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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DMAyjByhSQd0J7Csi80RkInAScE1on2uAU71ovlcCG1R1TfhEhmEYRvdTmItP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\noAzDMIxK8v8BRUVTLDvOEQgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25d5eed828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_overview(11)\n",
    "year_overview(11, with_envel=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test with a customer wit controlled load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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svn5CWmjVp9DKTsHE1xTUkmvC3WFS/u5qUO69VX+7AooUquu0x36OhImPrUO5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ljV8e9GBXFS5fi0zpsE9wRBXd27ihuDG3h089ET6c9HNBwPbTyEH3rfD9W+/9TX60U0ggTFhOyi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\nrv5jQZiwRYEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25d5efb860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BGYZhGIXEFJRhGIZRSExBGYZhGIXEFJRhGIZRSExBGYZhGIXEFJRhGIZRSExB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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25d5dfeb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_overview(1)\n",
    "year_overview(1, with_envel=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate many plots in `Customer patterns` directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LKpvIcRRYC8y9LnM5eUwDnSYqcX49/U1bT6mpXytIkU+zCZeLDNyMozsB01pQ\nNuO1OS4LyAPA4mJQodBVZ1wLbVI5IcfEoPIKSH7ukguXfBNFWxV7gtySR9nrTefmW3QliR8BACL6\nfQBfxMxd8/3dAD4w9+tB+0ZvtIaZ3232XFm/MOsaVGdW6lMLLMUAS4asMxoFL3J+wFrSlI42m7fM\n3Gy5aZHGoLK/C8VYOQJBKaWraAipRlyiiQVV0neLnI91FBTFzk7zEvDTpkFbgTtt5tWdCubFeAnS\n7DgnQ27CY8fFfmPJWGlQZv8y2Huzy7gDowUH0vOUn2ua2qDH9SbeB8AtJRCZ3+aOrfaw8PeyjrSY\ndR6SddWVDYL8NW3cg9lNksi6+PJLfEwDe6b8dY+q2Vk3Qb5ciesmK+vfaQtOHhdcNyugX5zBgpZS\nWQa42u4kWHRW2mmDXJDLWMh05e9ZFGgtb4oPzLv/qs5v5ZSbPOMq2tnrlkfTp7HiFz4PyuA/APgo\nEf2q+f6tAP79Ii7kZpK4kKo6/cAuoTG1i8+ct6wQYtELbksmCbZCf7TaxayFPcvIQl9jdlXYDmRL\nrml7y+c9JG0qIOJlQD7NPJLqVKdWT5sUUqV4eYxCKi2s5+FOdxFLBaJczHTCx6Ic5bDIwyNyBFVl\n3ViSdN+RcguqnEynMTKPxYJi5n8EvSbUofn8D8z8o1XHENFDRPQhInqaiJ4ior95lDa4sZIihHGa\nSDHdeatLnBRpC3qeVVkWnz4mn+I7qesgTZLItfOIctdO8oxzLj53IN6OFpTbpNNOUOO8CHkIb0FN\nhUW5siOpEEk12zworn73YpmVi2OzkiVnKpKUufKqxs0yWlBg5seI6Bp0LT4Q0auY+eWKQwSAv8XM\nHyeiswAeI6LfZuanZ7m+fjnLtyfzk6Y8ryWaMuugrCKFYp28EcRyxCKRSs9dOOsc0xkK3HWmifpY\nzaw4iGoJzi2NPw3soLRaonu1cS6+xIJasiw+xVmNMRJqsSuinjCmTYNedGWE0wbbt/GcaxjGklEj\nXbtTTbnchn3cQjGKqobaxJmGSZSYpGSZ6xYUUhXK1apxtnQxKCL6FiJ6DsBLAH7P/P2NqmOY+SYz\nf9z83wXwDIBXztqGKj8s4MSgZsji06U+si9ymq1XdK006LnbDTPbbPmd/BwUm+KdnKMkVmKbnx8g\nVmuZtAJ7Hvb+rPVn4VohZePutrGgxPJbUEch0GliSjYLy/PT5LB9O+16ceMQS5XU83QruEyCcRZU\n3mU/jqCnFlqBAAAgAElEQVTckkaAXjGiCFVW5DQW1HElSfyfAL4MwLPM/GoAXwfgTyY9mIguQ6/K\n+5FZG5B/EHlYU3V6C6rYxeeWNMrDJZf8MhT2fHkCEorRcZbs6OVK4VvYq+XHh1vk1h7vFq8dB0uY\n1k2UaNaOFVJG7mlq7HKRVD7lNRJq6orfx41plytwMY0Ftaxz15YZdigFc1ZyIqEQmzJV074+yRQP\n5kLLxZYgSxX06vPZte0syhSm28qCAhAz8z6AGhHVmPlDAB6Z5EAi2gTwPgA/yMydgu1vJ6JHiejR\nXuug9DySuTLHHxhPYkVIXXyjFk9Z/TnXOspvZuiBlE/2kJIz67P0Q1mo7aRp5jkXX5KBoxDEElf2\n+tjuhPnDS2EHsK2MMQjTultlqe1J252bXCaBl08zX9YYlNt/g0hObEXl98tnLU5yzWVSKJYdtm8X\naUFNsvaaiyQuJkdlCpAqnHbl8LEWlMomScxCUMtoQbUM0fwBgPcS0U8BGK3nngMRNaHJ6b3M/CtF\n+zDze5j5EWZ+ZPP8PaXnUmq8djDODVh4fWV99dnjYhOXKnrg1RPn0uwp14qKlUpW8gWAUMrC81gb\nsMyCiqVCPxQ46EeZmd8AKpfDcC0o5nSw21WK9TVLLCjn90ULvGnqx2kLKv2+rC6+zjBOxmUQy4kF\n4F4vVUBsualJtVf7zJaFoGKpcNhfrkUvlcomM83q4hsnc4TiJDnJVQgna6NpGzMCIUcURBtTlooR\ni+J4kovQVJCwiMXksfd8mybBcRHUXwAwBPCDAH4TwAvQ1SRKYVbi/TkAz8yjJNIkGUxCTe/ik0Yr\nDWKJgbNEsjBaT2GaecXDY8dl1o9GB7+1XGJRXAQyiUGxtriu7vfRDeJ0aQ+hsNMNEQmFUGTr6j27\n3S1tV+BkOUZSYRCL5IVJCSrdf6cbjLR93L23hzFutdPjruz10Q/FxEI1iCU+fav8HiyY3Rc+PXco\nVOGaSbFUI7HCRaFToCQEQiZ1zoJYTVwjrxsIDKN0JWhgcu1VypMhKPf5u3jmZgdX9sfqtIWYtTpL\nKGRuDTdOns9Wa4gbrSHaTkxXJUrE5BI4iCX+6IX9Sqs4Nsk7NhOZMfk9uTGoUKiRZC4rv6TiiVyT\neSus1IKqaN/SWVDM3AdwEcBbAOwD+CXj8qvCVwL46wC+hogeN59vnLUNk7jvjuLiUwxc2RtkJt/O\nssSE64bJEp75LdaLJMaqWNu37e8GMfqRwOEgxmE/TtoRSZUIAea0wGM30Pvll3m2CDNmva4qEYms\nX9x9aa4dDDJzMCxkQbkUi+e2u0mMrDWI8PxOD3/8wj5ePtBCYhxR7XRC7HTCjNAownYnxMC4SDPz\noIRCZBa4jIRK4nx7vRBP3mgv3LqSivHE9bbJ7My2q28Uk1DIzLPoBnEhqQFamHTDGDdaw6ktoqRO\nZMX+W60hbpZMjM8jSAi23LrY74UjVWAAPa4O+hFag3iq+AWg79eeUyrGYT+CUjyRwnHjcIitVkqY\ne70Qu90Q/VDg6a0Ont/pFSqRZQlMRWgNYgwjWRlbjKSu3GAtfjYelkn6IiEo877mCcWNKU/ifcgr\nR6XTa26nGBQRfTt07b2/AuDbAXyEiP5y1THM/GFmJmb+fGZ+o/n8+qxtkDwhQU1pQ7mB50gqbHf0\ngLZrUU1LUIzUBHa1lXSp+djMXci6Ci2Z2QHZHsQZrdmSSd6qs9fYMS+su6SGPWcsVYZYIqESq5E5\nJSbFqUbVCQR2uiGU4sw57YAOYonHr7WS3612aknBLuAIANudAEEsE6KSijPkbY+3wvLj1w4z2/Ou\ny6v7fYRSJllqbPoniCWU0tbvdidIiHynE0I62rMNFDMzHrt6kFkna1ztsyq0h1pYtYcxbnWCpC8j\noRJ3bBDrdtq2HPZjPP5y2o+H/QhX9rSlMQhFUvorcly0eRwYoe0KLzve2sNiUtjthnh6q5OxeKoE\nj7V+bpr93Zitvbeb7aAw+acTiGTc5pOKxuFWJ0jG37PbXTxzq4PtbpC4P6vafKsdoDNMlbatdoDW\nIE7aIFUaF+4GcWpBTehmZk7vpxMIBLEcGavKhApci79lnsm4hB5XeRSsDEHlLChDdFLxkSrY5FFJ\nUMtmQQH4uwC+mJm/h5m/G8CXAPjfj+naACZz8c1iQeXnV+33o4QIdELBlATluJ2GsUwGj71GP5TJ\ny+W+CPbFP+jrZZX7kUiITjGjF4rCAW2Fw54hqJcPBgkBfOSlA3SCuDDl3boMbraD5NqSGVf3B5rA\nJONTtzr49HY3ozXv90NcOxjg+Z0eeoHAJ6+1cP1wgG6g29sL9TozrobbDQSe3e7iliH/p7baGc0W\nAJ640UbXZDlKyegM9f/tYYwrewMIqZJ5Z91AJEtU6/4BntvpJi/VU1sdbLWG2OkEOOhH2O/rtlgt\ntxMIDCKJIFY47Md4brubCLpuEOOF3R4ALYStO9Eibx3ZY9zzt4cxdjphIrxCoZ8ns455BLHEtYNB\nQlSRUInV+NxOD8/v9PS9CondrrYWbd8UuTCvHw7w3E4Pj109BKBdq9eMMtALBD5l3KaRUHh6qwNm\nxovmHq0F3g8FPnrlAEIqPHb1ENcOBnjielvvE0ncbAUZJeLFvdRdZ8uTdYYxYqMouH3jjoUygrJW\nkptR+vGXD/H8Tg8dUzj6ZnuIQajdwJ2hVuD+5KX9RMFgZrTM+SOhEuVtvxdBKsZBP0RnqD0NFv1Q\noBvE+OhLB04B1ayleP1wgOd3sq7nIJZ45mY3mfZh3dtX97OZtT2jaEVmqR/FjBuHQzOZXyVjrAj5\n2G8osgk2SlkXfXHm8FFQmSQxhdJ+XBN1a8y843zfxzGvRTWRi2+CLJY8Rny6ijGMpQk6Tp8WapMk\n7P+DWI5Uk941BNUPdRxISEbXaGAA8MJuL7P+kiWcotjFXj/EvedWEwEWxBKfvN5CPxSQkvHibh8P\n3X0m2d8ugGYHteuaOOhF6EcCl86uJn1z4zDrsrl+kP2+2w3RCwUeuluXSI+FFiT5QbxjMg6f3upg\npxPirvX0XvaN68WFtaD2eiF2ewHkFmNztYGNVV3uKXICwv1IZCwB91yfePnQcZumpLe+Uk+sgG4g\n8HvP7eIrHr6AbiBw43CI7U4AIRmrzRqkYrzxofMAgMeuHuLBu9fxWfefRWsQ4RPXWpCS8WXmWEBb\nQYNIYrVZw71n15LnZtcjC2I9J+7CRvrcdnshBrFInseV/T6UStuctl0rMM16DYNI4EyzjsNBjFjo\ne24PYmy1hhnrfas1xAPn1/Dsdi85vzteAE0QvUDgsauH6AYiSWi41F7VMVDF2O4GGIRaSG61hri4\nuYp7Nlaw3Q7w4N1nkmt2A4G1Zh1SMR67eph5xw76o66w/V6I6wcDvOLcGq7s9/GZlzZxsx3gwLHc\nr5r+APS47CmB7Y5uz8evHuLyxQ2cO9PAi7t9fNlnXsi4Tff7IdZWauZ4zsRXB5HEdic0noS0Tbvd\nEA/ds45BJPCpm5qc7l5fwcZqwyQqSWw57sz2MEYQy8QiO7fWxEP3nEn6WTgxwb1eCKVMwlMErDZq\nhWXW3PaEscp4OAAnEcYmZc3RhV0VZ5pGJB4XQf0mEX0QwC+a738VwMzuulmg5ziNt6CmRZEPthMI\n88Cn10jyRDqIBDZXs4/JbleskyasW6Qf6hfbkoJMLASdqVMUmznoRfhTo+m6v1ns90LcdaaZbutH\nOLvWSGagu9jtBWBGaRyrDMModd8BOpZXBvtSd8wLfaM1TMjLhav9KqUtxEEkcJfQ9xI5JZte3h9U\nVrq36OQsnYZT1UNKbfXZGFqS1m/cJtcPh8YtqONzD91zBvv9KHGd2iVigFT4W80+EgrDWOBjV/Q0\nitYgArMWnJaIt1rDjPDJx4bS5bm1O/eV58/giettnF9fScpYAcCLe73CdOSPv3yYCHhXsFprIU+E\nFk/eSMfWNaOcWPK+1Q5wbq2BQSQzFvGtdoBLZ1dx43A4ogB2g3ik4vy1w6FWDFpD3GwHuHxhAy/t\nZRMq3PEF6Of64m66z9X9PtaadQwjiZ1OgK4zhluDGE3neu6YcGNcLm60hnjonvWMRXSjNcT6SiOJ\nIbmIhUqew622di9vrjXQy/WnmwQVCZVMvi4iKNddaq/nWtBW3iUrjc8xIWbGvJQRHAtBMfM7iejb\noBMfAOA9zPyrVcfMG5OQj5TTu/iK0HJcM9MiP0jaw1EXW367dXsMYokLGK0mYf8elKTpVgVorUAF\nTOJFKNJVgXNttQJsZ4aMN9clMkmaLjPwJy/ul5aYGkQ6Dd+9t0GYJhjYmByAJG44DmGskkSOZr02\nUnxztxuW+vF3ukEmvXarFWSex82c1WLbO4ykybYEQmULGptzGs3d3o+LfCqvK+iu7vfRHsToBmKE\nUNx4YdX5XISxKp047sI+C6tAHfSjpHq8my233QkQv1ycVs4MbHdD1EgrQnevryTu6ed3epCK8Zxx\ncY5rvzvOmFN39zO3ulhzShVJxZVjJC54P3uBVijcmNJuN0S9FqFeI9QnWATSVVrycIu2ijoDG6P7\nFFWNiaVCGEusNuvp1BFe3pqLx1mL733Qc5pOBJK5YCm9LARPHzMqghVSs2gk+XkK/VAmGVxF2HXm\nuuRflERDMs2YNsBsYV+ExDKMywPuAHDQLyaoea/OWlUdfRCJQkK2Fksk0mnb0zxyqxEPY4mGzN7L\nobFsipAXkDfbw1ySS/Ez3ukGU9V5LEMmMSaUGITjs++sK3AcWsOoUEiXwXUPWndqmCP2gxKiBIBn\nttL5+i/XUmKz93jtYPIKKUVwrRmLcWOkaGznPRbMJrt3wqr+u90QcYlmYJMkpEluCWOJRr2GYaxj\n1BsrjUJyG0QSn97u4vMfPJ+MP1azeY+OA4te8r2LYpcjAWBmPrfI67tgHu/7XIaHdJQ25AkxJSj9\nd5blLtzFE232musaKEKZth1JNfNCjNNCSK5MgY6EmqDwbjmGkRw5fpoJiHmBXIZ8Mshxwq7kOg5H\nmSOWj1FOi2UpTJJf+G8eqPIk2CQJqRgRAZ/a7mK1UUsyh6tqbirW73XkWlDz8snNGYteUffs+L2W\nB/mMvJNqw6woKm0DHG3J937oEJTKpqlPO6gjcXwEBZS7qwAglAprNHtbQiExR2OwFNPG8+aJSCgU\nlsDOoX2E+oDLWLljFsy7gvk42CQlwKkBOEWaeBgrhGbOn42NLiNO59rWM2IZFtQ7CkEmk4RVqhkl\n22Ycga6AjM2EwVmrk88zS+iokDPMUXNh51CdZkxKHssq3I4L45ZVX8g1j3i90CnrtcxKgicoB8tq\n5k4KxZqceoGAUFmtaJYBna/unUxIrpj0WYVlIihgurp9i8Cyrz110v1zu8BmwS0aunzaqPI5C4I4\ndfEt86rJnqAc3Ob8BEBbBt1QjGj3swxoO58LQCY11k4Q1pP8suct08aEylajWAac9PMO4+VeIHHS\ncjp3CspIaFFZcPmxETrlt476XLqBOPFwxiQ4tiy+ZcCTW+3KgqhleN19Z/G5D9y1gBbNH7FiBCY1\n2cUs7qgglonb09YCA7IkJBWjVqck46s9jJOJui6EXN5A7EkhkgoMnigR4SSgq6EwVo6QTHKaEMQS\nG7k5iUIqXSV+zmO7G8R4aa+P199/Lolt6UVLBc6vrxz5XVr2dc8s7iiCena7i71ehIubKxMfs9eL\nAHSnJqhxZLgo0pMm/bSfS1ueZUCHpuYekI3PudlFUjGadT3n4p6NFV1JoiCyLo7JDTIt5p36Pg10\ncPr4rj1p2riFnQQ67XGnEWyy5jZyQzvIubuv7vdx/7k1rBZMnB0HxYwaEZgZLx8MoFi/a5agshbU\nEW7mGFAl/9an6Js7iqAA4OLmCv7SFz448f6/8onr2OtF+JVPXC/cXkY0VWQ4K+lNAlsQcqSYagFB\n2ReiDKFx8Wn3XraauYV9MTtBjLVmrdRlJWTxHLNxbVgklNJr5KyvnMxroJNOju/eu4HAPRuTK2fS\nPPdAMO5en/y40wi7JlPmNxMTqhElilx7qBW1SQjKFpq2ZacioXRlD8nJOxYIiXNIq5/Y+nvztthm\nQRUJ2ekRD5xfO9I1Th1BVXXatNYToAkIKD9fFdGUkeGspDcJLDENwryLTxNNP5TYXNOPfb8XFbrj\nLNxFCseV1Y+Ewl4vKl3AzLWgDvpRIigHTnuOG4GZCzIP2RsKiWatNlUqfyTVdIXJjojeFATFRnja\nit23A0FJxRPNbZvFIix6B5IxXbNVx229u8keqq1S3qzX0BkKDGLtvnPdb+58OTt52K5+Oy/M6u2p\nUsIfOL9Wetxr79vE70zYtlNHUM9ud7HVCgqZ++LmiiGcyfG5D9xVShZlBDMORyG9cbAVCUYm7TLj\nVkcvF/DZr9Dzo/f7Ic6daYzMTTroRzh3ppFJJy+tZsBpjKoTxKXVOtzVhfd6ITZW61ht1NELxYkR\n1DCScwsUd4YC59YaqDGBgEytOKUYRBhxJcaCk8rtVYrCvNAzxYUnsVjdMllVlUyWCb1QZOpGFmG7\nE6BeI1zcnK6/80vO2N8y70hS767a/2aJNHKy8jpBnBaZzlW/t7DEFQg5V3d5FdFstQJstYJCArPH\nTOORmhanjqAuba7i0uYq/sxrL510U0qxCNKzKEvlVkrHiUKzaBmR1sQ6Q4FLZ+uJ4BJKV5peqafF\nvYQqX3tGKc6k2TKKNdTYWbwxlkq7QtYJg7h8ImpemAql0KjVJtaUxyGIFcbWvyqBTeO392ldnHUm\nSMU4W9fuznqN0A0F6jUaKfprBdyN1hB3rzdHSG2WidX5NjZqteT/yKzyPEnFA3eNs0DI5Fnk+749\njMeSwnFhEoLa64U4P4M1KBWPlB2yFpR18VliqZpP2QsErh708Vn3n4WQKilXNEjW+5KZJKRAqGQs\nRIkFVaxYHSXuXUY0VeecReGfFqeOoI6bmMpcdbO4E8edE5jd/dd3ltvoBiJZwmO3G+LujSa2O7rC\ndWeo6+3lF+Erq2gQSTX64kqGVDKpsCykXq/IpqULxRiEEhsr2VWB3SrVNw6HWGvWcMHRdDtDgbvX\nm4mfvzWIZhI2FsNYZiqST4MgSjPwlOmfeH3FaMCMzVXGlf0+7j27hl4gdNUJBtZX61BGILlWbiAU\nNus1dIM4qXz+uQ/clSGpaV1TPZPxZf+355ik4kG6qrNe2NG6sl7c6+E1lzax0w1x79lVbLWGOLvW\nOLY4Ylkf2Hp0VQhiiVhmVxkYN4bs9WKnhp4t92UVjFqNzfIX5RaUUoydXogg0m0IYk1OseCk+HLa\nxmyW7LM7XT3OnIoRRS6+RcS9q5Tp48CpI6jjRJWrblbtouqcVea2PbZsMLnVpm+1g6RMTyQVntvW\nVaBfef5MuuT6MCWoWKrMS+RiGEmItezLMoj00gevumcd5840cf1wmAjjMNaWRz8SOCeayUutjCXx\nGRe05XY4iDLxEsWcrMM0iLSmfLMd4K4zzZmz8NwMqWmz+excsLPQQlzHHlLLtBsI9EOJw1qEQGgh\n3wliPHT3OmKpcCW3MF0YS2yuNrDTDRNFoh8JnF1LLYLWIMaFjRXUaoS9XogLGyuVbR5EEmfXdMKM\nvV5ZLDG/hIW1oGyF71gqdIa6cPFBP8J2J0gWreyH2XaOQ2cY45yxdK4dDtCs1XD/XalLPpZ60cKi\nc7YGxdMYwtyk8iLYIrVWKVLG7V1GUNIoavedWzMuvHTplM3VRrIoaUNRZnsRQdk1x+zjsmQZSZWp\nvB4UrHqrV1HW53xyq43ntruFocsql1tV3PsoyvSi4QnqCFiEdlF1znEJIFUakqtw5V9kKxCHUbrk\ntCvHOoEondQ6jOWI0LvVCaAYuLI/QLNOmRfOaq+x1FaHNMHlXijQHuq1fuwCaq51FQuFQZSuZDuM\npRGOxUkWrnvwhd0eXnXPekbzjoTWfskIw4N+hAfOn8mco8piGcYSNeMfTFY9lQoELXwOOc1udLtn\nEMlCQRqYlWTd5S/6YVZI90OBjdU6GrUatlpDnGnWR+bl5Nsfimw1fFEixLfaAe4/t5YQdr7KgFSc\nTF240RpCcbqsSjcoJiilGPv9bCIOM+P64RCvX22gViN0hjGYgXvPrSYuxBd2e9hYaWTOaYV+LxSZ\n8yk21quT+VYEvVR6ur4Ws67Kbxd/LGr/MJZOTDe1mtrDGERADZSsi6aYHQtKj+lrh3qhx9VGPTlP\nWjdPJmM8qGUtqCoXYZWVVKUUL0KZPg54grqNsMjYFQBsd4OMMLWEaLxTI7AWW77qsiso8kLDjZFZ\nay2SCvv9CIqB/X6EVWfeh0UktWbZDfRChdadM4xHCUpIha1WgFddWEcotNC/1Q7wyvNnsNsLcX69\nmWiksWTs9yLs9UOcO9NM4kRhLLFjVkUtQhDLhACt+9MK0SCW6fLfuY6z6cRF58svvJhfY6kfCQRx\nE1Jpi60biBGCGkR60coa6SB8JFQmzhc7DRpEAnUiNBs1dIYxGjXCA+fPQCiFW7n1j2LJiaY/ek/F\n1vWtTjBCKP1QE3Q70NawHR/tYYy711dwqx0giBXqNSvQ9ZygUCjce3Z1ZAK6Xcn3/HozsWJs3M3F\nlf1+QtSK09gaoN3clqCE0hbN2bUmhpFMsmJ1kk+6ptoglMlqycqQlCV/oRQOBzHawxiDSODhS5vo\n56Z9DGMJsPVOpL8HsRxb4WSWxISTdtXNCk9QpwhHjV3lS/RP6tPulCyqVgQ3bdZq5y8fDBLC2OuF\nOH9GX88VRlaot4dxIpyB4iUJWsMYB4MI92yuJELjYBDpJbULhOl+Xy/8d3W/j0tnV3H3+gqGscTB\nIMLdGyspaQntlllfqSOM9fwXIVUioG2KfVWCVc9YjXkMI4keZ4XYIBKJwLUuoaFDfoeDCI064cLG\nCna6IS5trmK/H6FZr+H+c2uIhJ4347qQXPfTtYMhQiFxbq0JobQL9YHzZ7Dfi0YUi9gR6HmULQvR\nCWJEQmWs2UNjxdgl3y32zMrNds0yO052uiEOzbjc7oQj5G4XobSV62PBaKyk6yWtNetJBQYX/TCt\nttIJBIaRxJmVOq7uDzCIJB6+tIGhiRcNnXihvY6tAsIMyIb+GyauQyTLwseS8fxOb0TBS8aPYqjY\nfT4nP79pmeAJ6pRgUanrk/i0iyysMkIsEnLuMgGxZOybBQ9tXKdZr2VefiBdwtwKx1gq7PVC3Ht2\nLdFyD/tRsuqtjnvpfdvDOJMoYM8ZS8ZWKwCBkiy9F3d7eM29m1hfaWCvF6EfagtFCyzGp7e7mezE\nceKlTAAVxYYU68SQZp2SJcwHkUgIJxQK1w/1SrytgbY8e4EmwIubK4kb1b2mdR91hnESV2wZFT4U\nCr/zzDY+/PzeSOWRuslUK3qu1lVFpInhZjvAK86vJc81jBX6kcD6Sj15NrHU+1n0Q6mXglfptAUh\nVWbJlKHzrJv1mqnukJ1W0RpG2O0xOsMYihmfcWHDuPSyfbvVGiaWOqAXkLy4uZoQ2XM7vYRUn93p\n4qkbbXyqwL1OAGpEePjeTXzBg+eT3zN9XvBs7fgBjraCwWmHJ6hTgnHuvyrrqgxVwVOXEPPvV1Uy\nB4HAU8xO/bVP1pJr5FcbtufbWK0nPn33/ARCvVYsIKraUScCUXpcjQjNes2swnu80qRRo8KivEWo\nESX7rdRrSUzMPbIGwvpqPZlukEdZBQDFXPlcf+PJOiKnNJYlNNsWe61peu8DT9QLK6r/xpN11GuU\nJNuMw6RjrgZCmYpR1i8M4NrhENcOhzPV+ZwWy5zQsAh4groDUGVdVaEqeDprMse0Ar5syWv3fDbh\nIX9+BqNshY+qdihmwKmRp5gLBeVxYJqlEFwSKyMEBa5cHuKV59fw2hLrt+q5xlKVrj82iWVZeM6S\nh2dPPWk1hUnHXFUrqyojPL1VbF0tAsuc0LAIeIK6A3DcAdLbNSB7p+Du9WYS15kGy/Jc11fqeN19\nZ7HdCTJuwpPCGx64C29Ygn45jfAE5eFxh2EWclomDCKJW+1gquQcj9sTS01QRPQWAD8FoA7gZ5n5\nx0+4SR5jQDR+IcAajQaG6zVKAs71OiF23HZVx9nr1UifY6VRM0VbdaZfo67jRzY+M4x0HTMyyxqs\nNmumaGdBnMqcu1EjMKZfQXha2KIRDCSxIzeGRND3WCO9/pYy973WrOuKEwxEUiYp0e75mnXCSr2e\nZCLC/CZMqR73ejUTg1tt1nTFC6dvaqS32/4g0v0jVXpN2001U3/QtkMvJaFjifp5pzEzImClUUv6\n2K5F5faL2/1uGjyRbrfd7o5Buy1/fP5+JHMyjhjZ5273q9co0y73OvY87ph1x6Z9DktQhPy2wtIS\nFBHVAfw0gK8HcB3Ax4jo/cz8dNkxZ9caePPr7wVYe51tzTBb34qI0KwT6rUaYCbX1WoEpYBmgxCa\nbJ/N1QZWzctiA+P6ZTI12ADUCWAQlGI06pQOZtYDsUbASrOGKGb0I5F9Se32eg31GqFvhGazrl/g\neo3QqNVQI53OGkmlJ4WSdm806zVd6l8pvLQ7wF0bTaw3GxmBUCOgUauhXicMzeTQGgirTX3NlXoN\nw1iCYOrJkQ5s27TglWYNdaphc60BKXXfMRgbKw1EQmGnG+Kl3T5ec98mNlcbqNW0UDm/vgKGrl7Q\nrNVQr9VQrwFnmnVIs7DbxmoDg0hXWhBKYWOljvXVBho1PfXV1h0LYpsKrJMdVhp1NGqWvHQKsY4P\n6dRvImQK33Ii/Jx4kinqyWDUiVCvEQaRRD8UCITEMFRoNgjn1hrYWG2YzDFCDVrA2SzEtWYdgcmm\na9T1s7F9t7nSAFMaQ7EZZwxgraHJJJYKBIIZiiDo8WKFuCu4pWToqT1kEjb0WGwNI6w36ziTWy6k\nG8Ro1muGmPUYciut90OBYSRwz8aqzoI0Y6VGtvxTLSF7YZZ4sDGmc2tN1IgQCokg0uWszqzUk0QO\nW+BxzlQAACAASURBVDTVltKyioEW1JSkZtv3KxQKq40ayDwLW9FCKl18eNWMzUathn6kMxS7gYAw\nmXwrjRoubeqKGrFUqBkSkUpBMrCx0kietVC69qSNVq6vNLDS0GWM6gQMYokzzTq22wEkMy5f2HAI\nSpN4ICRioVP/GbqQ7sZqA80GGfLRMkOTPCWLHDZq6bw0IVm/qzUCK0ZkvrcGEW60AvQjgfvOruL8\nxgpe2usn1eTXV/TYjqTSikmjgXqNTDq8mXwsOZFJivU7rf/X7VpfraNZq5mqJ4Qzzbo5H6FG+l0S\nphyULUvWMDKLoUm7Uadk2sNas47VRk1PVBZpncZQSDTqWnFZadSSclm1GuG+s5MvwUG8pJRORF8O\n4N3M/OfM93cBADP/WNkxjzzyCD/66KPH1MLlwB+9sIfPf/D8SCHSRSOWCh996QBf/pkXjlzU1MPD\n484CET3GzI+M229pLSgArwRwzfl+HcCX5nciorcDeLv5GhLRk8fQtjwuAtg7gesCoHsB3jmBC18E\n1Q7AJ7K250n195123ZO69p12v3fidT9jkp2WmaAmAjO/B8B7AICIHp2EleeNk7ruSV6biB5lJe+8\ne76DrntS177T7vdOvO6kmG5ZyePFDQAPOd8fNL95eHh4eNwBWGaC+hiA1xLRq4loBcB3AHj/CbfJ\nw8PDw+OYsLQuPmYWRPQOAB+ETjP/t8z81JjD3rP4li3VdU/y2v6eT/91T+rad9r93onXnQhLm8Xn\n4eHh4XFnY5ldfB4eHh4edzA8QXl4eHh4LCU8QXl4eHh4LCU8QXl4eHh4LCU8QXl4eHh4LCU8QXl4\neHh4LCU8QXl4eHh4LCU8QXl4eHh4LCU8QXl4eHh4LCU8QXl4eHh4LCU8QXl4eHh4LCU8QXl4eHh4\nLCU8QXl4eHh4LCU8QXl4eHh4LCWWdj2oWXDx4kW+fPnySTfDw8PDw6MCjz322B4zXxq336kiqMuX\nL+PRRx896WZ4eHh4eFSAiK5Osp938Xl4eHh4LCU8QXl4eHh4LCU8QXl4zArmk26Bh8ephicoD49Z\nIAUg45NuhYfHqYYnKA+PWaBi/fHw8FgYPEF5eMwCGemPh4fHwuAJymN6nKRrS6mTuzaQ3rsU+jML\nlJxfe5YRJ/2MPE4NPEF5TI/+7sldWwxP7tpKpvcuo9ldfDIGor45Z4kwF9FsRDYrac4T8eCkW+Bx\nSuAJymM6xAEQtKc7Zp7ZbnGwuHOPg4yBwb75PzqCJclpH8oIEOHoLoN94NYTk5/SEt3hS7lLcfH/\ni4QnKI85wROUx3jEjtUy2M9q9uM0dmagtzO/tlgLylog3ZvzO/c4KIeglNAfizKXnxSaPNw+ZJUS\nlPu/i7Cj7y3sTda2/i7Qvg4cXs1aZcPDlJh625Od66iwz8bD44jwBOUxHpGjEUc9gB2CqnJzHV7R\n5JTXqK2wHhxM3xZrQYVd/ffgpeOzDGSs2y7CUQtKieK+YGWspCDdnxkIOnYH538HlrQ6NyZrmxhq\ni0vF2f6Oh+m5WteOp68WYUEV9ZHHqYcnqGWGWJIssdjRiJXMWQ4lBKUUsPsscOtPtZB2YS2q7aem\nD6iLoe4XS3JRT1sJxwF732FP37fKEVRRVh8rQIa6zcl21u0GNGGEBRaUFcjta6NuzSK4bkLXWlMi\ntXqHB8dj3cSBvq9J2j0Jwu5o3HMW5cbjtoMnqGXGvN1X8YwJBtEg1bxZZUlF5dxaVigND7SlpcQo\nQfV39Tmj3mRuJ1frj4epNaKkPvekQveo2WWWjCNDUC4hqbKJu5ySk2tBJffEmmAPXkwPiYcp+ckY\nuPHY+IQJ99m6FowSQGcL2Hl6ur6aFhlSNH3TvjbBcROQWPv6aN/eegLo703Xxs7W9PFTjxOFJ6hl\nRmdrvudrvaytmip3SZEgZKlJAUhdVhZ5wXHwgo6DuMIpT1CDfU1gcaCFzzi417AEpRyCmIR4pcha\nguPAPEpo9npRzxCOQ85KFhNUYkG5Lj4FwBI+69/3HYLKnyfsADcfB/r75e21zyfqjRJU1Ev7OZow\nplWGsFc8flrXgPaN9Joi1MpHFQG1b0xGYsPDUas9Hkx/L+0bwP4L0x3jcaLwBLWssLGDuWbADTWB\nbD9Vvs/es6NaNnNKAqyyrsd83EVJra13b2V/sxCRPkf7OhC0NFnlCSaf1SbD7LZ4mFokIpws5hF2\npuvL/ed1+1xYIRn1RytJlLr4WLcx7GVdfK4FBWTjepn/DUn2doCtT2TP7RKk7cP+XrY/8mR3FAtK\nRMD1jwKtgpUSZOQkkEh9z1EfGJRYOVHfuHjHWIZKaRef29eWIKdNqWelrfdlcZ17jIUnqGVF2AXA\n86lWYAW+/Ru0y2NHQVsLwszLz6nQY5Vq60DBeQpIwNV+RaDPMTw0gkcCO89ol5912eQJK+Mak5ps\nbC287q3JCCpoj1pyVTi8OuoOyrj4ipIkCgQmK0OkgdOHjIwFZfezFptruQWd9DgVj17TnsMmbgxb\nWYLPt0kcIS7U29bnLupHtz+U0OQuAp3EUkQkrWv6WY57JlHX9I1DZFZxSNygkxIVpyTlcVvAE9Rx\noWiuSxXsyz7tcUUYmhc6meTKOsi886ls7APQwjfsZrVkqxEDxvVVIQCLrBTXtSbCVKAooQVQbxu4\n+kepyyYvRC1JWyEVdNJSQ1FvMoETtDFCnjcey95X9kYMEcapm8oKxHhoYmCui6/EggKnLr7ETVpg\nQSnlEI5rcQZAz7m/vPsOMPfAhvxlzsLNWShHqQJi2+X2lX2WbkxOSW1NiVA/n5f/SBOVC9uXPMaC\nstaS29d2nNh7KVJQisah/S08QkbgrHFcj5ngCWoazDJL32rDYTebrj32OKsdRtO7JPJunKCl2+GS\n3c7TelKn64oTOS3YbYsVdKwAUaDFWxRpxG57ROAIYqXjbMxZ66DM5WfPbS0YFetjo0Hxs7F9v/+C\nFpj5ZIvejnO/OUFp5ye1rznVI8ycpsTSEek5q7L4bNZhEo/JWVBKAHufToV1PuY22NcWR75v7Bix\nxGfb5RL8iAt2QoIqjEU61p6FFfZ2wrG1coN2+tyi/missazf88iTEZCeNx+DdPcpiwcCqWU8Sep6\nfp880U6Tqbj3/HwUzjsICyUoInoLEX2aiJ4noh8u2P5OInrcfJ4kIklE95htV4joCbPteNZxHxej\nCDvTa1DWenCrEEwC++LKSCc3lF03GqQpt1ZAta5lXyQZaZKy7qbBQSrEwm56XOTESdy+ELGjPctc\nkkReKOf6kFX2JZZRlqDiAdA3aefWusq4sVR2f/s3yZozArEoASJo6fPtPTea1GAFDztkk293NNCu\nviS2EgOcy0pMjpfFJMnWghpm43h2m722CJ0YVy/dVwz1PfZ3RuNLdoy4ygNQ7OKzvxW5IYtQNFYT\nV5vzjK27TUa6be6zcmOHUS87DkSoiX+ciy+5x5ybGEgnMdtn33rZOa4ko9LGtKI+cO0j2YnQKqcg\nBG3g2kez7173Znofg4PRyh1VOLwyWVKQR4KFERQR1QH8NIC3AngDgL9GRG9w92Hmn2DmNzLzGwG8\nC8DvMbM7weHNZvsji2pnBkpUWznxcPoJg/Z8SpQHjIvguviCdpohlUf7OrD7af2/PX/Uz7oxZJzG\nd3o7WZcYK+1ms8fZ/VzBoaKsEJRRVri6yJN8vqZc3oICgM5NQ0zWKnInAossMbm/W41dyeJ5McND\n0w9GMAnn2SaVHGT2b+YejNssKW/kpLYn+1qCigvIGua6gSZ518Vn/7JKY1K2X6RIK0C4Qr23nR2f\nSurzc46gZJS18oDUihUTWlBF1T9sxqH7jJOSTSazLmPp5PrDJb32Nd2msXHBgnFmz2uvbQnE7Z+y\neGDQ0tt2P6X/Wle2UtrSjofA9Y/p7+3r+rm2nExDJVJXefuankg98fQF9gQ1JRZpQX0JgOeZ+UVm\njgD8EoC/ULH/XwPwiwtsz3goWe2fdmflT4q4b6yAeLKyNUl8xnHxBa3y64adbNkfpdLAsoUSKSmJ\n4WiMZ3CgY0A7TzvauxtniLIkwdLRNkX2Bc0TlAyzwsKN3STnlEB/O41juELZDaTn4xVRH4kFNTjQ\nbXn+dxwXjtNvMsgF2i1BGfIqIh33/g9eMoJfAii4X1stIv+cVGwyF2VqUeQJ1xKV7Uc2k2s7N5B9\nDnHOkrbH5frTrWohcwSlcpZkEcJescXOSh/vPuNoYEjBJPS4x+XHWZSPRcYY6+Jz78kqI9blHA+y\n8VEZOxZdict3aBQZS8Ad884ELaD9siajoA08/9spMXWup3FDdzrB4CAl5klgPQan2c035wzJRRLU\nKwG4kxyum99GQETrAN4C4H3Ozwzg/yWix4jo7WUXIaK3E9GjRPTo7u4Rs3Os77wM8WDyAKsNbAtj\nFciSLK887EuduBk6WYLII2gbIRhq10XQMjP5nf1lnLY7Hhr3mNOWvWfTLDcRmYm0jjCRIqulu/cy\nkr2Wt6DCHLGwEyB32tjfS+cKZWIoJRYUoMnfup2GB1qQSMdiG7ZSgRUHWSKNB6l1l1gxtokFfb37\n6ZRcVQGZyVgT0GEuBVuJlGQzMSjzl1VWCAOANG7U/CRmlrkU8iirLGTcsLlYYuJqjsaPw9bV4j6w\nzz4ztsJsHCrfPhcZRSU01vIY6yPOjYXk/QhThcYKRde6K3LxSfOOuM9axdpN19/T74Z12blz1YS5\nRyWyBJVYi1NOBSnq/2mSV0SYJj4tG46SgFKAZUmS+GYAf5hz773JuP7eCuAHiOjPFh3IzO9h5keY\n+ZFLly5lN9qBq8wM+mhQPQ9EyWoXXjzQA2NcrCrq61RtG3+wZXEmWT4hCXibQTw8MC96UXbcMBUC\nYU/fX2dL75t/Ce392f1dEsgIHENQ3e3sb3kLygrDPEGNWB9h9r6LhJw9z2CvmKDyMZbk/gNHqxY6\nCO3up6SjKASj7Rzspffj9m/h8zVuOM5bUA5BiVhbsfkK4tZCy2cMJtl8jmsO0BZUGfKKg1t6Km9B\nufEiq5hYhakIQRvYelzHckoJKjcWZezMS3IsPJv84T77keK6OXduETJltkR2yoTN5HTfGfd5jJxr\naJ5Dzjrce1a768JeOWG6fa3iYtfqyDG5NlhlauR3TgknGox3GQ5bwNbHp3AtYtQ1exRUXdfWyJwT\nFklQNwA85Hx/0PxWhO9Azr3HzDfM3x0AvwrtMpwc0UBr1IB2W11/VKcV33is3MXBsrgumkU80IOz\nt6NfkPb14ofe20m13cSCyqUll0EVCJ2gUxy0dsl0sKfJwGbl5YU8kH0x85lfQJp0oDc4vztWg4zT\nF822LyP48y6+nJBiZAWJi2iYZoMlbXfJMH9MLnaTt8zYESIizN6TrVFnrZtxFpTbnkw7rIsvLj6X\na0GNWI6W9HJaf5ULTjiuSuVc0z2vkqkgtIpLklhSsUxI0EnLa5URlGv12LEQugRlY0C5BA432SUR\n9KL6XgEgrCAoGKs0qdLhZEcWvWt2zBe5oWSUxmKLYJ+jbbNrHZaNl3yVjITccm2zoQWlzNSHMYlY\nYcdU6rhVvo+S2XEYDyZL0pqExKoqshy3BUVE9xLRXySiHyCi7yOiLyGiSYjtYwBeS0SvJqIVaBJ6\nf8H57wLwVQD+H+e3DSI6a/8H8A0Anpzslgzc1NagnZZGifrATkklBebyF8ZN025fA25+UtcD23tu\ndF87EOKhsaCskK44f9IGlfrnk2uLrEWTvw6g3UHujHt37owNjGeyqMz/fSfV2s26ytTbc4WSiQW4\nKdFVFpRrbdntLItfBBajPvoqF19ZbCohETcTMRglDuuS4ty+VS6b/OTShBSi4nba+88QOafWkzsn\nKpmQXDFGXDdXoszkCNxmOFoSsG4r9/fCcztjrtLF57i+gJyLz1pQIv2rpBambpZcMp7GxGOEeT62\nQG9CMqG+33jgEBQcsi+4Rzv+ywglHyPOvwO2P/NVRMqEeutlpz3K9L0qsKCkdkX3d4yMGhPTSgoJ\nVyRcBO2sbFJysrJSk5SPKoulKzn3eWKlRENEbyaiDwL4ALSb7RXQ2Xh/D8ATRPQjRHSu7HhmFgDe\nAeCDAJ4B8F+Y+Ski+n4i+n5n178I4LeY2aXl+wB8mIg+CeCjAD7AzL851Z1FJpV0cDDK6nbuTR6W\nRAonmzqDpr+bksPBi3rg2+w3pdLq2vEgzUxL3Gyi2t9s3YL5MjpF7kGXoKK+fmlFlMajAC1Qkpfa\nGTxuluDBi6ZKQIlWqJwAvxLQVoujIWfalus7lSMoey9FQkLJXEkglBOUK9iL5jDlz+9aHkA2RpPX\nNu2xe8+OKhRlWXwZFwqnws0mP1irMwm2Oxp/3i1VNT5cKyKxZvMuPpmOOVYOocnqGFTeFZtHksGZ\nc0m685JGLCiToGNdjPa3opT4wjYZcopM1RGbuRm0AFvhJDa1GYet0b50IcYQlIxNKSSbRr6b3WYt\nPxlnz182KTjOJSRJM02hqDxY0EkJx95T0NaypJUjFhtXrariHw9TDxKg2209P1WYxEVXFiaJesVy\n6ghoVGz7RgB/g5lfzm8gogaAbwLw9cgmNmTAzL8O4Ndzv/1M7vvPA/j53G8vAviC6qaPge3E1tWS\njCQGiHK/OW4rqme3JfNSQqDeBBIj0qSODvaAtbuyc0GiQTr5NRGIJrBbbxa32yYqWBdNvanPV3Me\n1eBA/57XdlilWXg1035lrJLm2mjA2f6NevrTXHdOlnNjue1nh6DYSaAARl/WfFKBFU6lBNUeJWeZ\nE8B2X3L2sZAF509+K4iHFMXD7PFhVys36/dkr1toQblEauJKTClBWyKxGXuW0NglKMcFVoYiCyqf\nKm+FqIhyfea4+LrbWsG5z5n5kRG6RULcjoOcBeUen6/6Yd1XNiYFZC3ysQQlgcE2sLKp77u/myYs\n2EnaKkrJpb8L3PPqURKw17X3UQjWVs/5zwBqTS3QN+9L2+HGoDIJIGXKrvPXukepPqog2GLMti9s\ntnBvWx/X2wY2Lurjbn7SiVUapce+68OWLhv2qi8z8ba8q1lpWXXh4ZL7RzrpvV5BDWWu0LaTdTps\nASsb5XJuQpS2gpnfWbFNAPhvR7ryopGkXm+nRMQqJRY2AsQlKXdQ1fIEZc4XdnWnr92Vbju8gmSh\nONf8teV1lEgtEEtWa+e0AGms5BrOqdtJBClBuYTZ3y0211lpoRN2nRfLvExKFlcYcF+WzCTQnEUh\nIoeYHBdffn2oImHvbk+y5ooISgBhbi6NkqlllyeYhISd36MuRtxwskBzdi2ofHtcAg67OYKy+3P6\n157PjS3Z8WWz7Ow1bEJGJmZiLcEovUYZXAsqsZRyBG5jJfn6g5aglCheG6rqOdrfXGveTn6uN9Jx\nYd+djALU1wK/SCmw99LZ0vtsXsopj5wqT7ufTi0l2x6rEMZOnK2sD4sqYeTvz7ZJmiSMgxeBsw8g\nG4PKW1BFfZVTGuwzr2PUKs/EJP//9r483LajqvO37nsvL2QOCSEzCRAgDIlIDBrCF7ElTbCRRgYZ\nBFQgH7a07YSiYINoizjQooJ0msaGVjqtLUjQIDRDM3RAAkhAgkRMQkYSIC8vb7r3nnP26j+qVu1V\na1fV2Xuf6b53zvq+8917zq5dq8Y11yq4vqxt8/5kv5buvdX1fWMPQmb+w4/1Gq0f/3u/4bSrzX1+\nPEwwi4xziUEN170Avd0LujuazGqwXs/7+n0ObzV07T3syLoPd/0jcNyZ7tMTSia+7xDR1UT0am/u\nOyJXdsvBvbc4RiF+iGrkFvedX1LmPj/xqZDh1IILF+Tt86r3vUqSHdRlNvfVmko4g6PO9lSj2tS2\nvrsZ1s6VOlQpB1GNliL3EVkI57iMjwhwCzrKAFHYyAAafqNqQxFZrUGNjBSc0KC02ZQLDIpHAA+M\nxjWKGUzwswziOqVPEqml6x8qiTNqF9A4AxXwCIMy5mFhMDxS2qRiWADCwdswXoo5idYkh51TPqgS\ngxopBsXstW2zboVQy1rQ4yAEdn03mr67FmYrIdIBj/h+Eloc4AiYZWxag5KIuH3frsc6ZWqU8bb9\nFNOtHK0IwTwpBlXY37rPw/V6zchhby3ojYwGZTVg3YewT1iZCRMmPg2D/cCB3bGgtfvW+vqdvXe5\nbPvh3OAB4PbP1QFS67ubZxmDcDDmnJIwZ8DR0JS/XkfEDg44rUxwayEgddGkLtMCSsEOZwP4AwA7\n4LI83OrPG72ZiJ7TGsO8Ybjp0vgP9teH8sSMxaM4U0LO7JMKfRXH5WC/W7S7bm5eN765z0nwcoVE\nIJzKeVwNlSN51HR0MtcMSs6zWDNUzklpnfOCjyu34DWUJE1ph65XNATr8B8N4/M6DT+RId7jTHxV\nhShIQKR+qTvS/Cwj0/ngNIMqaFA8aLaHVRvkkK4mOMLAQl9Gri2aAIbDt0M1ZqP6WdC4zNjovynQ\nJj5hFjo6DqjrX783PQ6jzZpxRHWP8UGNLDPS8zGK35M2CdPRDMb6FWWdW4FD+pJrm8yb1qBCVKU9\ng6We5RgUNINS1gbR0oLPbxALE8l2m/GQg8yylyK0pj2DA/7CT71eN+txk9RgG3tqJrWhDudv3OfP\nCGraZHyDOZDbn6VvKZ+U+NWlX6m+hL8pHO0P82YZFDPfx8wfYubXMfOlAM6E8xX9EBad8aEEISP2\nRpxDTeDAvT4HmDirMwvfgmwAWawSRi6LRZ5t7HWEQUve4iAW6Ukiyqph89wVV7U5sRo5s4/e0FVl\nEoYmNED9f5Bk7cE+RvHwsCUSwiSDo1+N1frueiFHjE2ZNyyBz5n4RMvQTnatfWqCGNnYPYMSKTci\nzCaDgx4X8S00zi6p/h+4p9Z0NYMaiXZomHCkPYmGpRiUJlYR826hQVmGLYd1df9Eeo3MjqjXzf57\nEEnndkzsWIXnpn066jUVSWjrEW3PBpQI0Q/jMGZPWpOYmK91wE7jWhGtxae0d7NetFVg4P0yEgE5\n8n4oubzR7rVoPJTQoM2EGoJg5jVACXSS9aFNsXptb+5ranOA1/r2x0EUcmYyF0Eb+r4eB0RZhjY0\nTLYxlmaMU2Pd4cqXkonvVCJ6FhG9iYg+CeDvADwULorvwa0xzBv0lQ2be+sFFcA7QgOhTGyGlJSh\nD8VquO+O+qZOMf8N12PJY+BTwYi0q0OAkxOoCOrQLKrNvYjEEh0oERFgvWk43fbSQonapTUokfqF\nOPixFWEg0khlkaa0hMQYB2ahNTS1ATWjtBuNh0qDMvMaHPeqPQ1/iN603GxfYFDDWsvT2mDKxBf6\no31QSuoPeK2JryDlagalHfdATBRkXaQObMvatHgiyZ7RIGThao2UBmWsD0kTtFr/uq0iXCQvb0wR\nOkUExewoAmQwt1ktRfv6xjAosNm/BxCS+crakmS3Op9gzjQpdYrwlAqS2NiN+vBv5T6ypr59g6IJ\n2tS/p7bO6Lla3+3M4rturn/TGTdKVhN7o4EtaxMJWPrVmK8EM+yQ6qkUxXcbgC8A+M8AXuXz6W19\nEGlDpIDcyXkeIURZCVgzhUDIpZaxa+/9pouyO3BvjUtPgvYlhaSoIu1lVGT5P1xy59tmIxI397qA\ni9S70qecxNSWQTEbgqw3u2E4B3YDO4/y78l4KZ9YMD3m5sQT7chfYXwewW+k2rixFyE8X/unon4K\nYVMMKjAPJatpBikgCXuDuU4xGc24Q3+hmJHqV9CqBjWTDT6oAvMWiPLXVfH3pLaRmvuMdNsgnBwH\nEY0MgUtJ0lVhfiWgQwQ2wSEZ8lOaSIPQqz4FE3KlBBPFoEZD58A/8kRg+/3Ue4KnAtbW4jpDXw0R\n3dzrAgCkHZv73G9r21VfErQk0qD8nrfMsxo52rHjCF/Xmm/jGiCm4z13AsefFTPXgfcFbex1Wv4R\nJ6j2+yAcmUOx3Ow8yr2Tiq4L94qpw9B6jWzsqRNTB8H0HveRQCIZx73fcmm/tqkgMAmg6cCgSj6o\nJwB4N9w5pU8T0V8R0S8S0ROIaGdrDPMGHWAAIKQashAOUJbsxh7a+AY0AUrVIURPJGBheI1yxmyl\nU8dIPZFtWWtQub7kGFThUJ1ldkKMQpCAIRzSpgO7FKEtaVAZZi82fXk+VKmSgq+iao7D/u/UEqJI\n0xJS3cCp6g9h2tbEl5By5eR+mEttrjQaVGijYmi6rBzajHxQLaL4tGmuUmYja3bVY9qoI2PqSvU5\nep7wQdnAjpwGI79Vw/ggqhBufQA4lakjF8wUrQUjCPHIWUskma02KwKxb3Kc416SHmsTouzPoFUb\n83a0jqR9SuvU/ZGglRBwwwhaFFBn64/mhL2laJ9LeqtB9pEOwInOMqKZUSP4yNTN2zpBwHCjvjFB\nn9mTXIaAmsOBK6t97OL2mAaDYuZPM/ObmPlZzPw4AL8AYAPAOwF0TOk9R9A+KKB2LloIh+7Us+Fm\nfNgvlG3LoNB8Vz+vvO1apF4dCpo66xNpUIqojFTfoqwLRnKuRHrPtLl02VpDg9Iagyaqpt9yKh4w\nDMFIlLmMGjoYQ75rzSKYzIwJarC/NsvIObKNvTETjiRv5eOyBMqaCFNjo6P4GiY+xXjEbGNNWjq6\nUXAPPLEZh1tnnJBExDlBJ8mgqrgMgHSGA7sP1JiFvhjTXolBiYCmU+WIIJESeqK2Zsx+wcdnfWDe\nDDdcjxmYfl/21nAdkTaeAsmnGeH2gs1A45C+jkx5meuEJUaYqV4rYT1Ju5QGpmGw361xm/NSDoKH\n+VC0QhjqXSY5j7QhmAI9k9FaYKjfzPvuW2PTraULgM91yJ18UCUTH4joEQAu8p8nADgOwGcAvK30\n3kJBBlfn3UoyqCEAiqWZahCnZBEomaWiclV6YsIztZhDZKHegMpcEN5J+BcG68D2w+uQattOQBHO\nUbMtAqW0JJFEKYRApFxFVC1hqkaOURx5otmc6jmQZ/ZCrKJygn+gGEqVGGPDdDb3AtuVss9m14K+\nOAAAIABJREFUs8s7mnhJuWK0kxALHThSxfUHE9+ofi79D1qHXSvsIyLHSfPCoPyYyNm8qImVOztX\n1KA0QRs6AnbYEc1yDbyKgKZ8UMJ8G3j9WESCEaMRZRkR2pRWmDDxWUZWDVUEodayVF3DA/V+2nF4\ns72279qcapmBXY+i7Ydyfo1pAUvMp0MzhmHeCLCRqnY+B+u1RjraANb8/I3UXgUMgxo5n1fjCAUj\n+HKlz0KD1sxasqZdrtzaPfb0uv/6ufQvdbyhAFkGRUTfBnAHgE8D+ASA32bmr7eueVGgCQYQ27Y1\nVBUAicgZuQO81aBJ9ENZlDUowZ2STt0PfnPuq8uOjEMSO+P3UsyHKxUuPIg3StRupfXkoMRwrSYn\nkrslCNr/IRsiOOG1DypBQFIw2vCHOpUGFSKcCswp6ldVM6hUVKH1+zSi+MYwKK0F6X5rkyYhbqse\nLy102DWz91uJtWPHSB1cljQ/1lzLFYAMg0r5oMRHETEoa+LTZlFW41DFWm4uVVOYEyNIBSuAmIf0\n2kgxKK3F2PXA9fyHO78qBAah3x+s11Fp48Y87Dsl+IUmVgqH/CbmaKN9aMFLhIqUEIoKkV8UQCNr\nC+ADOFSWG8kGYzUonf1C6EZK664q5WtUDAo7Tf8SUXzhzjG1f6zm2+VWcZQ1qIcw824iur+5BgNE\ndDYz39QJ09yAY8KbS0bJFVyQxFDZU60k7EFHfBVRm41in+lDlsFhauzCOY0IqIlCFEnjf6M1866S\nLsdJ5Lm+CFQMkNagVP/YMCiR6gfrhiG01aAGseQvGy1seBFAuDlPob2+3NCaPTQBUO1vjBHn2yfv\nB/OwMvFZP5ZmZJr4amZtTU8Hdpm2JEBrYJKM1d4PZOfJtl9AAgXE/CxrKarDvKeZQtAI1LzmBJ+q\niq0GUpfVoFIBEQCCkz0KRvFzZ+c2YlDKbKbbL+edWjMoOctoBBiroYVxUD6rhoA2qhmUFjjcQwQf\nFEymm0bYtzqzZZMsA3WbxP+nhdbG/hENStNDbvZB1x/tr4SPl82eOHBPbNUYAyUflPiZ3q+Twvpr\n29/fGsNcQU2GwHAzE33nJ1uivobrSirImfgm0KCsNiMmAM2wdB8ANHxKlkFpu3vqKgpNzDtDFf+v\nNRiguUAtM1zfpdqkTXZjxlIzXSDW2kZCDMcwXk2QohP/Ca1IBxmEclW6bHhHj0fKzMTx77qvlSLm\ngZhqZsIYO1/6PiJx3tsDlZE0biAVUCESdSmFT5Vot4yVPNt/T950zJX3sZmxHihzvMZj25Dqk9aq\nQz/YtUmfzdOCgDCY0aYbv5IZvEYODBQjidpo1izgzHaytlJtjzQwdbxAn4lqML1EO+UsFBAzKHuo\nWmeOCYFatotCR7gON48YmnrBBkJJ3VIPm/0uv5cS3CagzbUZvwXHpI4ioscB+EsAP9YJy7xAxi/a\nZKO0RBcck37C5JwD0CSe44hqqLOkQRmpXCRNy6CyGpTaABL+GQIrMur6JBpUtLC4Jl4lBqWJ6313\n1HdrRQQx0U8LNupPCI6NnMsRcn29SVSv0QD0/1b7LGnLgTmJf8njiuY+YQqS/lv/lxVqxjIoERS8\necxGIdq+NtrPzfyGMrd279i2S50i/FhTMo+aEWV1BYlLAVlpAOpAtm5rA3/it0gr4JiY27Wp50Xa\nM45BWaJrQ8rteqs2m3Md6jEaWErIY7WGdF9TkZVhDhMaVIiQVPMsASQNmqHmMWSLSAgz0f+ZfgTG\nZd4ZKwjEUAySAABm/lsi2gHgQwCOBvAMZr6hE5a5gWhQLY5sVZU/ZuAXkb5TZmQXQYsoPiAmNvI9\nJKq1DMprUPZsSTYzhF+wYjKKJPGUtD+hBhVZvKQuE5Wkw6SFYeg26xB5WbRtFqgmBtqst7E7Zii5\nukToSNVrO6fNMBH+EgO1xEr6rgggKF2PBH0AcAl5LWMz7UtBMNV4glI6eJqae9HCdxyuyokGpTXO\nEoNnJfkbLTGnfdo1JDhCFm9jGdA4o/+NVgHEUr4VXhqCmjIJbuzxZ3VamPg0fYm0OLUPBEbDOLpS\nz9FdXwFOu6A+v9hIISV1rZm+JuZaNC4gztFoIy2tqW+UYlDacpHQoGwgke1XEAwYgXFZYaQjlIIk\n/sjUeCyAfwHwCiICM/9MZ2zzgnGMBIgXtjCKlF0VUJPWIorP+iF0JnWr7ormpheUloLs5HJVP9fS\nWVUBa/bqkIwE3xosYVgzG87a4LnZ/6jtIm23WKQNDaqqM3QEn0dBM0wxndAPqV+YiTYZKvylzaTn\nMmJQmikoYSJ6d4Q6U3wV4yoxFds/zaST672kQVVoOLllTHI3xdpcdlzFRyPa7LmcJB5uEk5oUFGX\ntGQuv8metRGGdq9ZSd5YH9r4oEKggw3HF01aM5NBvEf1etK0RicS0H601LxZzS3gNnQrEhaEBqj9\nVA29Bp0QQCJNa2iYXYJBpQJpov2RECY6QEmD+pz5/vmulRPRUwC8GS7J/NuZ+bfN8++Hu0n3Jv/T\ne5j59W3eTYOSEsYWHSIcdKyGsQZlbzQNBK/NItYLqwJGlUtLb5lF0IQGhkGZtDxR/Wzy0ulN1ihc\nL5SOanUTvzLjaAalNQdrRrHtTmlYWVD1iE9q791N5pQjKqlL4QCFWzGF0ahZz1hThN60hlmE+qUe\n82plCYpmlradGQgMSt5PbPzccQdBFAQja3rSJj6rhbD6XWlQbZN/JhmUwpFK5xMJQorQRr+hOabW\nhNZgivp7iz0SaRcDdR9crl+ertjzWQISnbq5NzbVi+Ydgp+U4Gl9X6Fv1oyo+z4EeEeNX5hjCM6q\n6mwaIQKSYxNf0v2Q0qBQ79fImhBe8n/aa1Kl+6De2bqWBBDRNgBvgbvU8DYA1xLRVcx8vSn6SWb+\nNz3fNY32f9tsGL3YxBeUlQoSknCuzmjhw70XGJT/kERNGeIW+QZSDGoU2+n1prSXLwJoSJJdwErW\nYtIJi0skaq7xaM0krixmYmNxK1OBjNH+b6s586aOHFFJRTtJvUCaOEXtbtNGw6gjW73aiA2Copg8\nPAPT39uADuywmrntQ1aDGiIizGH9ZTT4iEEZZjYJgwqCwrAm1LnLAFOaTnhHmaEaGrERDgHDiMcJ\nJNJmJQDrO5JsoAYADIdGiLSE3GsogwOIgiRIMShai/ubEjbtWk/2Xf0mwnZEZ9QdeaLV6+M2YT56\naFCRFj6K/7aAUrLY9xPR07z/yT57MBG9noh+slD3hQC+zsw3+jx+VwJ4est29Xy3gwYVImZkwtQd\nJ41rvjM+jQb6hAZl09LL5IRs1kobYG7aoxttVtJW0ilp291C80t3xv8RJlSZIAnNkKq4L42quG5H\nK+lJERmteelNVmJ2ldEEQrUJRqCDHMJvLeY61Dmqpc5oDIRhZQQNAA0fVFLqTIDWoKxvM+AwdUbP\nlOUgYlBVfdrfCgBWQ9SBJK0ZVKJ/YU5VVvbhoPkcqNdcVKf1Qam50HVYomgvxWxlHRH6stnU7Ox6\nFA0qRagFfzWMb+AO7VQCXYNBJRhCw3Vgx8ww19x1GcGvXMX5EmU+kia+hAYVmQV1e7VVpB2Uovhe\nBuCJAP6JiK71lxd+lIhuAvBfAHyemd9ReP80APra19v8bxYuIqIvEdEHiOhRHd9Nw7iMD0C9ASVY\nQTOokp23BI2NgRqHJq4A6vQumhgrhpmVfNWG1Cp9qrw2w3UFHQQRcFsflNagFKNtVlZmYI3iVfMj\nvwPx2KVgnA+q4dgdxnV1YVBRVGFVX78Q5jNFUDSj1eaQlvNkg05yfc350mQudb91m+UutRQj0WWt\nWXpsuxNELRB9vbZyGlRGgwCMppJiUAkGEfWnDYOS9pkD8ql9Fnw4CbNbqMMwqMiiovcV6ufJgJ6S\nBmXqqQbNVFP23aBBydroyqBMG1Lp0FpCycT3TQC/BOCXiOgsAKcAOADgBmben3uvI3wBwJnMvJeI\nngp3jfw5XSogossBXA4AZ55xWnNwciDOatmo4QpuNAlUaxOf3UCy0JTkJwssXKxntYURwlXhFrQE\npYmCnOlolJ9Ug9JSnDHR6Q3JplyjKvW8dZCEIfyCU/pVYnalowXyvsalT/wDaW0021bVFq7cOY9q\nVB+cThJU+a1CFKmV2/QNnJUZ0xKDSr3vNVodfqzxHthVH2CN6qvq97UPyiYdLbUbSOOMwqUVQbQa\nhNVIbYSt3kcRjsx7tm/Ztqu1Pdw0Wbqr5njLGk3l2JQ+BhNfQvtjoKE/JBl0QoOK5s0wT7nXSpev\nv9RrOcoTmtG2gLQApoWmiGZMV4NSbeGbffLYL3ZgTrcDOEN9P93/puu9j5n3+v+vBrCDiE5s866q\n4wpmvoCZL3jACSeMz/YgUI1Qq+EmoikZytlHg+J6shoalLr51RIbHqaJpJbIhybaKnXzZThA2FOD\nCgRCS/lGgwp9TEhOdWVonhUqIld1JTSMcHi3QIBTRFMfHA5lfdt1+S4aVLifyrc55BpTcx+1TZtm\nrZTM5m8Gwjsi0KTWCqNBlAPIfFkflP9/711NLT4lnGhzdRvIabBAfT4HUP4RI/BoQS90xWpQI9M2\nGyot7xkTXysNSvo/SmhgRmAKR1YyQU8yvpv7EKWJis7GGcaa8q1qwTpqi8GT014a2qxfkzqUPnU5\nYepMGmACPgyOiHa0g1YMqidcC+AcIjqbiA4D8FwAV+kCRHQykfPuE9GFvj3fafNuGrgDcfEmrJSd\nuLGY+/qgZMJHzQWiL8rTUp+ca8hpAGHjmfumUqf3hwnnZmvg+hMkZr3wh/XvqBJXGtjqEpu4BJUh\n/FJHaBvyC50z4xfeM3M0GiCK3OwSWMKJ+Y2u1kgJO9o0O4rr0n+zOKt6nZTy3uWEAZvbUMqXCF00\nt/7/1PmYce0GmnsptEXmJxMolDJ9s9m7IcDGf7f3RAk0tIgWWqvup87InTyqYH3FGQ1K+4O0tsMV\nGmH1lhnp/ut2prSinHZuzXaR4Ke0rkZZxaw1WEE1MmFnmGQBxh7U7QvMPCSiVwD4IFyo+DuY+StE\n9HL//G0AngXgp4hoCGc+fC4zM4Dku60Qt/E/AW4gJZpuZGysKam3jWbWWKSykRMaVM5/I36fpMlO\nmXN0tJXNShzKJ2zHXcBqKVH4vVHdQwqbDC7rbxkHkeSX2QylA6Gp8QvlzUYTpjKu3lI7oyCLUZ39\nOWWSCWuBEZ3Eb2hSOVBEpw+D0ofDc4E2jbWs+ihrtMe5lmS7gsYj0nvGF5wMkrB1qb0E1KbKUpBE\nSRvPlSmZ0YA4Si6n+aR83tGat21qsXdE0BVoaFCp8ZL/teYGxVhSgojV/jV+vTYSAmYHC8XMGBQA\nMdtdbX57m/r/jwH8cdt3WyBs3/lAmJT5rjEhHrqEmacmXG8ssf1v264IupZyfNmUiUrXb23oKYhM\nJR1Bm/dSGosNoR1ups2SunyJaFoYWUksRexzBJLThFvfFRSKesKcO3szDrSmVzceYU7tmET9sBu8\ngwYln9y6LAkDOqw5N74Ngmw0qFREWRtItVn2rYRYaxNoVC5jzrRldL9GGQ3KEttxc15iYnZt68wa\nWU16EJexuEIbO+5dG30Zom3Nb2vbmritBhXGMGHiC+UzGlxkAjT1ddhfpUwSX0ZhdJj5vNZY5glt\nQsyBWIOyCyV1GK6PDwpqsnTdm3uA+x0fExopF87/FPIHtoVqCiY+G7IaHiviG/IYjmFQXfxhlRoL\nwZcz7zSanmFQWSnSSLhdgiSiEHv1vmjDSROI+E1G5sBnSwYl71rNTUNRgxIGlQgzz73fEBZaMItc\nuxoESurzgSW5pM256Naofo7HRTLaj9s34/Z3aTzDbboiyOnjGCJImHmKtNcxWmEXaLTTMB3Aj8U2\n+aJfTgs2JUaaE8BCf2enQcnh2Z/2f/+H//uC1rXPHTqYHWQRW00ASEh4fTUo3SZZvEMX0HC/49Vv\nahHJOYSkiSq1uQswbMmsc2AjAPUYSDsB5/8SZl+qq2QCtMDDuDwn5rbog0q1xUhy8r8l9J2EgITp\nUgc/pJhhiSnodhbxDlBkZEWJ34Q1B9zGhNVom56LYRl/tl3cHF+ZW1L/A03iVw0xdmy0GVwi1lKE\ntPFeCwZVihrV4zVSc5PVoBKCcV1hv7GN8AmehAAV/Z+a84zGI2U39wGHHZkWGML7CYFvmhoUM38D\nAIjoycz8WPXoVUT0BQCvao1lntDWByVpRew1zuGZlBNTTVsGZSfcbEg5+yB1A36ipbyf9FwUWifz\n05R9UJFZUflthv6G35L2GkwNHTQoK7Xbq6JLDColhSbT/yhTry3Xtp2WkesoPtuOis2GNxJso305\nvCZE3AJX9TortT2Mr9H+kxqUNfFNSYMShrcmeGSd2bFL+KAaoNZltVkz4Yk1qMLatVlURpt124NG\nYX1QmkHlNKgejMoy49Qh4lJCajvPUof+fuBex6AkQCrCnzBt60CWlN+qAG2i+IiInqC+XNTyvflD\nFx+UREGlCETqjpO256AaUTbG3DTY30wdYiPW7LkcXX8X6X6iKD40TSO5syXiiC4xKH1eqA3wMB7z\n0UZzDrJjkdsECQYVTHH6tw5h5qkIrsCMR03TDivNwzLGLsRoHLHmyqWHKtahAzYSfW74ORUD7cug\nkufyVH1C3FLCWCsflJp7YQJtiGIrH1SmDmvy1Iexg7BizWYlH5RmFD0YVErQ6KJBaaEFUAKVb9P6\nvfX3pInPCOURg0rNfx7aBEm8BMA7iOhYOCV8F4BSiqPFQlsfVJgMM0FAvaiJYhPgOEiFz8qZE1tG\nS1zVKD7bk5N825gqovb4A4W9NSivZYb6zKKz2ZdL2mvwQbVsvx33zQ5nwxuCB+p2Ak1G2wj37jLG\nqXWkiG3Dj6J+s6Yfq8kX8Y4RVnSGgmwdmkEl6tKRq1aDsNdmtIVcCioeAby9nousFtzGVyQmwkHd\nx3H7ZqzgV1i71nytw8FzzDx1vEX3wRWq62kLDWY0as5tdq1LH62JT9GszX0qCjSxBsXaFK0V6SfS\n66wAbe6D+jyA8z2DgrppdwtCBw0qddBM242robuSue0ZKCARiu43dc6fpAmmvuBMh5DbNnfSoAbt\n7rrJQWNTJUyfumxp8aUOWZagwaD25cs2kaVxpUx84vPIBYO0aWfShCLjY4mP9UFp02LGaZ7Em7gu\nIXre0iStb1ptPDeXF+pxs3citYWUAKkTvWqTaWoc2lx5EzQodVi2T8Rhqu4SzkDQTc5K90/8TisG\nhe7CZUqbb+QWzTCoxvozGlQ1AHbdHPc31Xa7HzSd6zgPY011RHQsEb0JwEcAfISIfl+Y1ZaE1tqO\nSL0p1VcxlVT+qxyknL85s2MkqQydOc5GIKXe6UI8c6e924KV/KJ+mH6NNfFV7edGcOu+dmFQOek7\nEI2U1NiTQSWl/ao+55KMCDWap66rTSAA4MPwe85rVI9cu5CYG03YrElR587rAikNKrIqKMKXmoc2\nviJNUOVvl7WXg2JIf1VPm56blE/GtilH5Hub+Iwg2bi/KmPuswevtSkaANb3xNd0JOeIm2sjrHfu\nZgFCO1/SOwDsAfAc/7kPwJ92wjIv6OKAE2KQMvFpracLU2jglsWZYVDBxFep7OYFXG1vpG20ZwJC\n1ghPVXWXGJYFm/dtHOgUVEDZfGjBmtzqB/6P1QSNr6jrQV3bNjkHM1hvtoNVOH6KcLXNa9c2vVDb\nelJ9bmRb4PhZLw0q5etSud6CLyrhgI/K5kCtw6BBdbCClCBHBxrnoEzgVUroTEUPC5SiQMdBQ+hJ\n0C9r1tNtEvz6b0rTs1G2GkabTboqZTvOQxsf1EOY+Znq+68T0Rc7YZkbdCDEXMFdDpZgUPqgZxcT\nXwNHgWFGC3qIcJFYaUGm7MmzhKqK75myJj4bdl4ViOakGlQXyI17NoovYRZpDQnNMURibqBJmLRQ\nZJzJQDNSMQfT0qCGyp/QwFHItsBT1KB0Kh3tgxrXpiwOw6B0tphJoJS5JDItKvNn6IsZqzZRfOFu\nqA7QMFdXCQ3K92OwP73u2e6TKrHfS35Ck5IpOs4wQpf8EG00qANEdLF88RF9icRvWwC6bNiUOU1L\nDlNhUCVznTKZVCO1qAt96CpRZTWJtu8XTHyWgHAFjEra36i5Scfh7i315gSDqpZOQ1FPPHoHSSQY\nqUjHVpIE/Bgpzdm+25ZBWSLQF7QpO4lD/jfRV701qJSJT2lQctNsyn+Xa6cGvS51KqGZ+qD8Xhbf\nsTZx5Xw1WrBJWV6C4DSNIAnrg/K4xZ+kywb86m+qD1WG8QLxObDofQb2fatTd9qwspcDeJfyO+0C\n8OJOWOYGHZ3wQEGDKkSqdGpSwZ+kTU6jQXNiG+/0aMukDErDOAZVJB4JSa4E1TAfLNIGssQkwby0\nVpOy2ZcgKaFWyoRjpWMlmKTms22fxx3UbQvhhuaUD6oUJDFFBqUJtUTAcYVGiL6UGQfhoK7aw21v\nOegDYpoP+EyQRIpB6VDskpWlb1v095SJb3Nfk95Yja7hR9P1FjSoRoZ1X3Z9d8dgpzEMiojWADyc\nmc8nomNcWzmTmXQLQKcNW6FJrGagQeUWmfYniQo8HBMZNeqhQU3kf/JmUIFGFJ9e+GMIu3Zet8U9\niVkm6fcTydRuWMUo9MWV7RA1iZ8QiRQTiQ7HJuaztYlvWhqUOL1TAQlWg9LPepoYS0ES8jys2x71\nMyuToTIrTcMHlUfqs6YLY7SZJBL+NOsnmlpTrAaVEBx5VJ9dTJq2rQbFTUuBCO5JBmVM/ULrevhN\niyY+Zq7gLi2Ev7tp6zInAJ01qIZUozQonVCzt9+nsMm0+h4k7oRJKHqnD1GagIg1TFBG2xwZjarI\nULjbAhUC3xeSmz5jNtE28s395TloVJlheDkNSq+J1LutNahp+6BSJj5NkGwgSM8w8xTodSPEPeeD\nGguMZrLncdr9hCBBVeFQfyJIonFg2z8ftYzabAuNMUuMoxxlsXuhoUFZQWoUl00eugYwMkJWSdsa\nA218UB8mol8kojOI6P7y6YxpHtCJsBgJIJI6FDGdJDCBC23S2k3wWSSc6hpapXoxOCY28ZUYrNn0\nxTBz7mZmKd111Or9jAaVijzSPoPB/ubzEuRMKMLAGw5w5QMbd4iyBFPToFoGSTRS9RTWRlfQfQ4m\nvgk0qNSYTiLstMEpSWmBOGI1RdzldwDRvW7TgIa/KaE9clVr6taMC8Rr1P3gPo2D+hkhyeYAnYBB\ntfFB/aj/+9PqNwbw4M7YthLY21Uj6V4R00lMfChMij2gyaPxZ0s6nz3pucnD6wUpNrXgiputo29H\n2/T7QLLdiY0GKGkQ8VXXbcDa/AV3CD8vaVDor4VMSyMoBUnIzc5ra03hYlph7o32yE3T3LOPife6\nZIPpBVxHbIZIxHEalP8+iZ812ZSUsJTQ3oRBaSEzOlSsrSXctDgF60pKgzJ9kjOnPXz5bTJJnN25\n1kVBVw1Kv6MXCsMc1J1BmLm154ZIvpKJr6NZh3kyIZerOMzcPutCtLRW2gZS54u6QDKXoZiO7Jyo\neerKoFIMTzZ08soPLZ32NWMBnTNz5KBk4gvMN5GpflYMaugzZEyi/TdM95OY6VviqwYACNHV9UBt\n9UgxDmD6GpSF1JUv2hxpD2MDTQ0qMFlj4ssxHLs2xFrV8ZAu0C6TxOFE9PNE9B4i+isi+lkiOrxN\n5UT0FCL6GhF9nYga2c+J6AVE9CUi+jIRXUNE56tnN/vfv0hEn+vWrRZgQycj53QVmz4mOo+T2WSR\nuuxt1uPMNjmJJd8ANJyzXaCUnDOlOYz1QXVg9BI0MlUomI4iH1SXQJSEEGKjuhptkOCYSYjwhNpx\nqGeU99Foc1nrRL0TQqUYZl/tMpXaZ1btBRCCquRweSPXY8qSIoLxjBh9gMTc6nVZtTDxhT6kTHyp\nIIlEVGuXJAoK2pj43gWXSeKP/Pfnw90N9ezSS0S0DcBbADwZwG0AriWiq5j5elXsJgCXMPMuIroM\nwBUAHq+eP4mZx6Rk1tDHPzNOg5rEPFAgIlGm7mEthZUmsbMPakINqqoAKvigGn6JMamOumaSmMbh\nylQ7UgJHJKhMaOLjEcLle43yRoPqSzinFaAQCE1mTDjDoGalkejr3nubP1M+kMmaVQaOx8mm0ioF\nZM1DgyrNlT18C6Ap2IrJ1UT8ZTNrzJdBPZqZH6m+f4yIrs+WruFCAF9n5hsBgIiuBPB0AOFdZr5G\nlf8MgNNb1JuHrr4DnZAyYlBeYhise0Y1gZSbNfElQmvH2aN7SZUT+qBKGlQxhYqBKqdRFHDPwm9Q\nDZDUKoNW0zU6zmxcqStLFLQPKmVubIt2SgxCznGl2qH7MTcGpaJnp+Wfq0aYyJIwDkTTJKRTeqUs\nI0EgmjGDGhdiH0Xi6owexgfVCF8f5QXmVNRgVwHVQ5sovi8Q0ffKFyJ6PIA2JrfTANyqvt/mf8vB\nSwB8QH1nuAjCzxPR5bmXiOhyIvocEX3uW/fuadEsD5V3XAYGlTh/Mtg/+WHRbBSftVO3MGl1zR4w\nsRloDINqhPMWNkJXn9KszDK5QBNhFl2jjXL+hWxwiY7im0CD6svYGu0R32dmTIJmkAgsmQVEB+Sn\nxKC4mo8GJdGCjbHKCADR3XCzatoYQc+mK5N3IgaVYDDZYxRIC64zjOJ7HIBriOgW//1MAF8joi8D\nYGY+rzNWA0T0JDgGdbH6+WJmvp2ITgLwf4jon5j5E/ZdZr4CzjSIC859UPtlGMK8vQSsF0pwmB9o\nxvR3hhY+qEqZ+ErQmSgUfGBtoKoAKhDaThrU0DGHO68D7v5qvtxJ5wKnnI9iiPskkNNC+2psKWZU\njfKinz5e0HPT1vVMAUI4fKI+nZ4qZcacBej0RH21tMaZrQmYXVsYDYE174tqjNUQSQ1u182zbROA\nsdGQ1dD5XQ87Im/iS2UuL+2XVFRr0aqQhzYM6imda3VwO4Az1PfT/W8RENF5AN4O4DLAKorMAAAX\n3ElEQVRm/o78zsy3+793E9F74UyGDQbVH0SDqoBBJv3G4MBkTsxiZnLtg9JBEgXo6pOZVIOqKrfp\nknWnCPOYjVANHXPaezdw1EnNMnvvdn9POX8y4l2CXIoeveGmESRRZaIfoyCJfnb5gGMawF44G+eD\nKt0pNE2Irv/ouXYbbZtgnFvj1MdSrInP+qU8DOaQ0nRckBeP3A25hx1Rz3U2SML6oDL0KDX+krmi\nI7QJM/9G51odXAvgHCI6G44xPRcuwCIAEZ0J4D0AXsjMN6jfjwSwxsx7/P+XAnj9WIxdtIVwqRwD\nm3tNPaJB7Z/wsGiJQaU0qDESfOd8Yj5Ioq3W0sC3AWzbVqg7YUrJNkXZwo86CTj/uc0y111p8M/C\nB5XxMUWSZlcfVJdx0CY+L1n2mZ9xGkyXOgcHMhrUUGlR8zLx6RRjPZlKKmnxTM9B+fppLa2hTyux\nby9ImKA1VENg/T7gqJNjDSryyYuJzwRO5NwfKcF1fffMTHy9gJmHRPQKAB8EsA3AO5j5K0T0cv/8\nbQD+I4ATALyV3HmbITNfAOCBAN7rf9sO4N3M/HdTbmGtYWzsTReZ1EZcnBC1YNsyqK6bTHKAtdVa\nLBzYBWwvnCiwzHucD6rrJtX19WWyjToTJhjAaFDcwRSZ0PS0Ga+BRwdJ+I3fZ37GMbbd3v177BnN\nZ7ZOnQXB4ggZV0x/bPmpzY+fg8EGegc2jMv3NwsYDYC17XFOPo17Wj7DrjDOVFoNva9daTjMwL67\nVR1VmvHmrEsNEycDG/fNzMTXG5j5agBXm9/epv5/KYCXJt67EUCL1dx4s0NRNRmNDLu+no29ky3s\nthMSsjmPKd/V7j/arIekrdaiYXNvOXlpKklqDvrkjtNjXyLiu291nxyB1MQxRyy0ybIL08il1uGC\niU/jlDHrOj/VqNzGY8/IM4WGppoxv4h5KBXsY9diXyHIQrhkcBLfb8pxPwcNSsylqbufZhlFWIJx\neQhTDMreEyXl7Li21aCGG71Tc82UQc0duhLAbHZrX09O2m5df8tFqUNrp1FfqHeCEHmHENj/nfzj\nrpkhurbFamg5Il6S3i1xzLUj0mC5jC8i8In1Yy96jJ7Z6M0WY7L37iZTIaoZQqqNXWCQYVAhMq3l\n3PURglI4ASed/8uHgeuvypfNMeCcuXIcTKIFijYsB3Yt7mlk/egD486TjYY+GEzRilR5SS6rIRvU\nZfq6cR+w86i2LY7g0GJQXaC1+W0SBtXy3UrZ3Utw62eBOwuXGdsNNC51kkCKAALA9p3AaRcAxyXM\nREC+f7mNvu2wvJSdgrZS7ynn5wnHdVfG/bvhQ8DwQO2g1qY6m825K0i/t+1wS2hcVCZtc2NYGpOT\nzk3/znDv5J53gVGC+ACoI/xaMtIS5NYYYDRcYVDrwI0f76eVJX2Mvn/TMoumIAScJLSPWQdp5GAc\n7uEBV2ZcEEOKlrTdn8N1F4TRAw49BtVFCsqeUVK/f+Ma4LZr29XXF0IE0Kj/BsqZubbv7EcAAWC3\nD7pMMag7rwO+/c/pRZprJ3NHojoFqdPi0pvQRg0KQ2lDTFIEV/p9fNv0lUpTy41JjvlSJlNFH8gF\nSQC1f2qcz6vvGrOEPxxg9Rk9SlpZjumtbQNOfFh63KZlFk1BLiKya5j7tPx5AXdhHw28KTWlIWlI\n3VXX2myaOMzeEg49BtUljDkLakLv+Ifp+D5KoKNnSu0/7kHAAx6erjO3qLnqRwAB4B/f45hUanOW\nmGVuox9+nAtpnSfY/p15kbt2+jv/HPcr8kGNYYy5sZR+n32JdwzvLtezbWf/VDfTlMgHJT/jZk14\nS2uz7xqza0v6NRqU5ZMS09t1s/uk9sMkZtFxWuDpFzaTxQJ5S0Zuz/YRRHU79FiPY45aICj6kFMa\nVEsLUc80R8ChyKCAyW3h9i6Uafg+ivjMROfwre3Im41yRGASpnDa45yvI+UMPfYM4NTHOobZFtr4\nrHJEoItpcFwbcpnO5TDxONNsieAC6aCCXLmtAIP9+WfCoMQkOg2fVwmi1EqF8SnNwd1fdXszBX3N\nom20wNMuAFJnrnJMIsfwS5pcV5ozzgcVGNQYd0AqyKGLBtXTl39oMqiJQUdaFSati2RYRNeSUPUh\naG2vEE/Bg74POOviWqKzcNiRiQjIAoxb0CUiMDV/S24jsnu268bJGUfbQ8ZbhkEVDozuuws4/qzJ\n1lEXCGMyweHaUx87nbWioc1eDwewE2Hmub50Zfhd/K1AbApOnqerWvqgEgfcb7kGuP0L+XeCfxe9\nffkrBpWCxm2SPaGtY7gt9GJQk+QS5Hw2c6D7oht36HmcZjINSNnSAffbcABsdMjnmAOu2tncZ3kF\nxDjQa3Nteyw86LW5eQC477b5MagQSTZBmq6FRcxVtTlU4M7rnKkc3Fz/07IKCHTx9QmMBsB3/gV4\n4KNbBEmY53dc1zKIZWXimy7YTL59oBh8ULAjFxdtn7ZMsFkHB5yWlK2666Jb1Gl6BSlbusCwYOrq\nApNcFTEPKAWO2LW5/XAnhQ/2T5+gCqQEue07nf/zyBO717ewsWdvLlXr6+6vOp/nMac2i0/LKiCQ\nEvC2HeaYS05QHm3Un3EMqgFjglhCMe7ta10+BpXTaiKNZgqEtKQNlOzI0160k8DGnnJ46CxvKZ0V\nDDfg7kXwoNfD9e+rNahJiLGk0dqqYNemEDEgsTaV9DuLtZkNo2fgmFOAEx7avc5FCgeprDRHnwJ8\nz8uAA/fMvz1t9uid1wFffX/eXH/SuenI1NbCO/fOO7hcDCq3GRqhrnJQd0YEeB6mrGkAj1ym49Lz\ngw1Gmy7YBGiuBz3fExHjOSQnnSZo05Ndm8ec6qL8ZkVcs3uBnHDUxccZYAHCgQg6a9vidbT3bseg\nFnlQdxzc/VVg/7eBIxLaqtDGh/9QqvJyvWFMdgCsDivvuN/4Nnk49BhUSerNbYaGc5GA6490C21W\nZo2DBTbuW3QLpgujgTsgCzTXw/FnA7tumhzHrDKxzwzG+BkXsgZSKcjavjrnsdeCjBVqjzoJOPnR\n2NIaNQAccxrwqGc0fxfaeM2bu/nQIuGuvz/x0GNQD/mB7u80JGWlQW0lk9si4KAitC1gtOlMWimY\nViDAoTRmmxPmo1wGGGcR2XbY1jCHl45wHJu5zFxoX4rBtD37pk3IgD+a8pxWTT70GFQfSC2wBzwC\nuPeW8hmRFRx8EG4CTcCsbzc9GKGvFrOCGvS9WouCcUc4Tn50+pnQxsOOal5L1BYm2FcrBpWDe25c\nEaxDEbjAoCYJyV/BCnJQjYC1BWvV47S8HfcrBzIsSIvOXUy9ghVzOjRhpUGtYO6QuJJlq8E44WxB\n7V8xqBUsGSRuwBWY5PbkFaygBFvdjzfOb3ooalBE9BQi+hoRfZ2IXpV4TkT0h/75l4jou9u+u4IV\n9IbsZtvikVYrOIjhYF9bi2n/zBgUEW0D8BYAlwF4JIDnEdEjTbHLAJzjP5cD+JMO765gBf3gUIqy\nW8EKDmGYpQZ1IYCvM/ONzLwJ4EoATzdlng7gXezgMwCOI6JTWr67ghWsYAUrOIRhllF8pwHQabBv\nA/D4FmVOa/kuAICILofTvrBGGDzwh//j7ZM1uzvsH/DRR+ygKWQZPXhwr/p86ONdFO5l6++y4d0Y\n8gaAB7Upe9CHmTPzFQCuAAAi+txde6sL5t0GIvrcno35410k7lWfD328i8K9bP1dRrxtYZYM6nYA\n+krI0/1vbcrsaPHuClawghWs4BCGWfqgrgVwDhGdTUSHAXgugKtMmasAvMhH830vgN3MfGfLd1ew\nghWsYAWHMMxMg2LmIRG9AsAHAWwD8A5m/goRvdw/fxuAqwE8FcDXAewH8BOld1ugvWL6PWkFi8K7\nSNyrPh/6eBeFe9n6u4x4WwHxotLAr2AFK1jBClZQgFUmiRWsYAUrWMGWhBWDWsEKVrCCFWxJWDGo\ngwCIiMaXWsEKVrCCQwsOKgZFRL9ARJf6/+dKtInoLCI63P8/73E7WrVjLv0momPnjXNR+BTeuY/z\novAZ3HPtNxHdf574DO6F3D5KRN9PRA9YEO4XEtFjFoF7UjgoGBQRXUpEHwTwywBeBAA8p+gOIvpB\nIvp7AG8G8F6Pey7J3IjoyUT0KQC/R0S/5HHPtN9E9ANE9EUAf0JEvzoPnAr304nonQAKF9fMBO9l\nRPQxAG8holcDh36fPe659tsngP4EgD8got+fNb4E/j8E8AEiOmuOOKXPLwAw1wvHiOh8IroOwDNx\nkND6BjDzlvwAIACHAfhNAJ+EC0f/twD+E9xBXppDG84AcA2AH/HfPyX/zwH36QD+H4CnwWlQfwvg\njTI2M8J5FIAPwy3oMwB8FMBvzqm/TwLwJQCfB/BTAI6fA841AC+HO3f3VLh0Wn8D4CdnjFeiZxfR\nZ4I7ujGXfit8lwP4DFxOzTMB/F8Al81jnNX3PwfwBQAvA7BzxmO8BuB5AO4D8OxZz2umHb8C4PJF\n4J7WZ0tyVSIidrAJ4H3M/ERmvhrALgDPZeYB+xmYBW719cEAroMj2gBwJ4B/JqIdc8D9CABfZub3\nM/MeuOzuP0dED5tF373Z8ii4HIj/wMy3AngpgB+dk1nkJgCXAnglHME8b9YI2WnCtwB4HjNfzcx/\nDzfXx80Kp6xt//UmAP8ac+qz2lcjuH4/f5b9Nvg+BeBiZn4fgHUAdwP4ipjLp23q0+Psb0cAHIN8\nK4Dnw92gMHVQfa4A3AHgXXDnPEFEzyGi04V+zKLP5qdHAPimf/ZzXps7tvnm1oUtx6D8Ad33+AE9\nhZmv9b/vYOaPA7iRiC6bA+7jAHwVwPFwJpCb4DbwawC8e8a4jwFwA4CLiegiX+QkAF8B8GpffuLF\nTUT/joieCQRizQAeAMeowMw3wpk1Xz8tnCncvt5bmfmbzPxRAHcBuISITpsWvhReDx+GW1NCxM7F\njC6/MXN8MjPfzMx3zrrPBvfPE9GJXuCbWb8T+/h6dgfwvxvAXwM4C85k/yZ5ZQa4f5aITmXmEbmM\nNE/xuD8G4LlE9CPT9AvZMYZjyl8C8FYi+hqAZwP4IzgmCcyuz7KG7gBwEhG9F8DDALwYwJ8uyhfW\nCxatwukPgGfAmR2eBOBPAfwxgPNFEAJwfwBvB3DpHHC/FcBD/bNXAHiN/38HgBsBXCLtmgHuPwHw\nQAAvAfDf4Ux97wZwNpxGd9aE+I4G8DY46WovgO3q2e/CZe6Q72sAvgHgUVMa5yRuj0dMX+cB+DMY\nc+okY13Cq+v2433RtPCOWdvfpZ5Pvc9tcKtxmFq/x+A7G8CZ/v8jAdwL4IJprK0C7sf5Z7/u/4rp\n7asATpoR3rcAeDiAUwG8AcBjfbnjAXxL2jRD3GfCpYj7KIDflbUO4CMAnjGttTXrz1bToB4P4K3M\n/DEAr4MzgfwHwDlTmfkeAPeDm4hpR9NZ3DfCaysAjoHTXsDMAzh7/dnSrhngvgluM/03OHv5zzHz\n8+HMMp+F21y9gZ3J8OPMfDJcX96iHv86gO8ioqcS0U52mtXfwDHmiaGAO5hkmPlLcBvu0T5o45f9\n773HuoRX6vamlzMAfMGbYl46KV4FqTn+GdW+qfe5DW52Ws1OTLffpX18EzPf4v/fB+Av4PbXtCCF\n+6f8s6cS0SfhNLe/hjP5TbSXCnhvBvBKZr4Dbi//AwAw8y6P+6gp4U3h/gaAX2HmK+HcEod5jb0C\n8Gn4qy6mtLZmCluCQSnT0Y1w0S5g5m/AEZIjiUhfVvjnAC4kosN5CtF0BdzvB3C0N7HdCOCV3ob7\nagD/Cm6iZ4X7fQDuT0TPYOdv+6wv9xtwUmfv+1sUTkm++7NwNxaf4/HvBfA7cNLXrxLR6wE8EW6h\nTwQl3OzMMNtVmf8J5wP7XwBONO9PHa///eEAToAj3lf5/zvhtWU7ru2J+jwB7kegR7874jvC9BVE\n9BoAjwJwfds+9sR9PBF9H4A/BHANM38XM78IwMlwps1Z4L0KwDFE9MPMvK7K/xpcn/+pC96OuN8H\nZ9q7GMDvAdgE8CqP+1kAPt4V96JgYQxK2b41J//fAParhfxNuGifc9VkHA53w+5oDrg/Bmf2uBLO\n/PI8AA+BMzF+bQ64H+7fOYeI3gfg0XDa1GBSnMy8j4jWmPmbcObMt6syVwL4LTjt4gFw0VZ3depo\nD9zMPPSazJFwxOTLAM5j5lfq92eB1xd9CIBHwmnHP8TMb+yKF2ZPtV3bRHQU3FGG3n3uixsuGOhc\ndO93Z3xACG//FJxf5Fl+PrpCF9wfgROy/pyZf1m99gzRbGaE92Nw6wlE9ERyIf0PA/DMnvupa58v\n8v17AxxDPALAD/bo8+KA52hPBPB9AF6f+J3U/z8Ol8VcfAKvBPBa9XzbnHH/hnreKzR1Atyv8/8f\nDeD0aeFE7XdZU7/f4t85GcDjbfvmhPuBAL7H/9bZNzBhnx8B57i/sGefL4QTYn4HwGMUvm2qTGmO\nt/fp84S4xSfzGBn3OeE7C8Cj59zX10o5vQbm2OczADxyEfN7MH/mpkER0YsBvBPAa4joOf637UAt\nCRDREQA+BBd9cgURnQrgsQBEwgW7kNV54g7qOTN3Pmg3Ie6BL7eHmW+bFk5mrrzErkNO3wgXjPEJ\nOC01tG+a/R2D+5NwUh6Y+e454v0EAImq+yw6ABGtEdFr4bSxD8Axmp+GP3gr67XFHA979HlauL/M\nPlp2xvg2fbmbmfkf59zXoZTjDq6BKfb5VmbuZMqcFu6DGubFCQH8ANzh00sB3KJ+3+b/vg5OAngs\nXLTeb8KZBd6KnlrTsuJugfO1AP4OwBP998vgTAC/B2DHjPs7E9wL7vNPAPhu//8JcMTkAvV8lutr\nrriXqa+Lxrto3FvhM7uKgUvgTUX+O6EOaf0UYtPZSXBh1A8xdRyxwj17nHB28jMW0d++uLdYnw+H\n8w/s9N//AsDT5rS+Zop7mfq6aLyLxr0VP9Ov0PlL3gPgHgDvgE/fgvicy6MA7AbwwMT7ne3Dy4p7\nCjgnkSoXgnuL9fn+/nftS9wBlx7rYTNeXzPFvUx9XTTeRePeyp9Z+KA24Q6H/RicTfTZgMtUwMxM\nRNvYXd/+lwB+G3BRPfIyTxY6vmy4J8XZOxJygbi3Up+f5etkVeYRAO5i5huI6GgiutC3gaa8vmaN\ne5n6umi8i8a9ZWEqDIqIXkRElxDRcewCCd4Ol0LmBgAXENHDfDmCT6fCzC8F8GIi2gXgfOp56HbZ\ncC9bfw+iPstZqhPgQn5/HE7afYwnIJyofkvhXqa+LhrvonEfNNBX9YKz+Z8CF+v/EQBXwB2iPVGV\nOQfOafca896D4NTZj6NHuOmy4V62/h6sffa/vwFABWemOW+r416mvi4a76JxH4yffi/VkVEPA/Bn\n8htcIsT3mLLPgM9rh9rhdwz6nzdZKtzL1t+DuM9H+N8uAvCjBwPuZerrovEuGvfB+uk8wHAZBt4I\nF23yNADvVM/X4E4xX2Le+1W4lPPfRP/DakuFe9n6e4j0+dyDAfcy9XXReBeN+2D/dBnkSwB8ES7T\n9svgDjc+Be40/oWq3MsBfEx9fzaAfQD+K/qflF8q3MvW32Xt8yJwL1NfF4130bgPhU+XgX4igBeq\n72+FyxL84wA+739bg0sb8xcAzlbvPXGiRi4Z7mXr77L2eRG4l6mvi8a7aNyHwqfLQB8BYCdqO+oL\nALzB//9FAP/e/38BgHdPtZFLhnvZ+rusfV4E7mXq66LxLhr3ofBpHXrLzPuZeYPrcyRPhrt4C3Dp\nOM4lor+BuzJgqtlylw33svV3kXiXDfcy9XXReBeN+5CAHhLBNjiV9AOob5x9KNx16BcDOG1W3HTZ\ncC9bf5e1z4vAvUx9XTTeReM+mD99Di9WcCk3vg3gPM/9fw1AxcyfYubbe9S5wr11cC4a9zL2eRG4\nl6mvi8a7aNwHL/SUBr4XbsA/BeAl8+Soy4Z72fq7rH1eBO5l6uui8S4a98H6keSanYCITgfwQgBv\n4h53JE0Cy4Z72fq7SLzLhnuZ+rpovIvGfbBCLwa1ghWsYAUrWMGsYW436q5gBStYwQpW0AVWDGoF\nK1jBClawJWHFoFawghWsYAVbElYMagUrWMEKVrAlYcWgVrCCFaxgBVsSVgxqBStYwQpWsCVhxaBW\nsIIVrGAFWxL+P0tcUfcEcmY+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25c61dfc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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SoVAomEIzegpz8RldRyfcZpVKJbY1lDaVSoWBgYHcls8w4mIKyug68qwsotBM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\n5wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f25c5f043c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in [1, 2, 11, 12, 13, 16, 17, 20, 21, 22]:\n",
    "    plt.close('all')\n",
    "    \n",
    "    year_overview(c)\n",
    "    plt.savefig('Pattern yearly/Customer_envel_{}_2011-2012.png'.format(c), dpi=150)\n",
    "    \n",
    "    year_overview(c, with_envel=False)\n",
    "    plt.savefig('Pattern yearly/Customer_{}_2011-2012.png'.format(c), dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Yearly pattern for all customers\n",
    "\n",
    "after normalizing their channels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Yearly pattern indices"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "summer/winter consumtion ?\n",
    "\n",
    "* winter: June, July (looking at the data for consumption increase)\n",
    "* summer: November to February"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "61.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winter = (df.index.month >= 6) & (df.index.month <= 7)\n",
    "sum(winter)/48"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "121.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summer = (df.index.month >= 11) | (df.index.month <= 2)\n",
    "sum(summer)/48"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Customer</th>\n",
       "      <th colspan=\"3\" halign=\"left\">1</th>\n",
       "      <th colspan=\"3\" halign=\"left\">2</th>\n",
       "      <th colspan=\"3\" halign=\"left\">3</th>\n",
       "      <th>4</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"3\" halign=\"left\">297</th>\n",
       "      <th colspan=\"2\" halign=\"left\">298</th>\n",
       "      <th colspan=\"2\" halign=\"left\">299</th>\n",
       "      <th colspan=\"3\" halign=\"left\">300</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Channel</th>\n",
       "      <th>GC</th>\n",
       "      <th>GG</th>\n",
       "      <th>CL</th>\n",
       "      <th>GC</th>\n",
       "      <th>GG</th>\n",
       "      <th>CL</th>\n",
       "      <th>GC</th>\n",
       "      <th>GG</th>\n",
       "      <th>CL</th>\n",
       "      <th>GC</th>\n",
       "      <th>...</th>\n",
       "      <th>GC</th>\n",
       "      <th>GG</th>\n",
       "      <th>CL</th>\n",
       "      <th>GC</th>\n",
       "      <th>GG</th>\n",
       "      <th>GC</th>\n",
       "      <th>GG</th>\n",
       "      <th>GC</th>\n",
       "      <th>GG</th>\n",
       "      <th>CL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-07-01 00:00:00</th>\n",
       "      <td>2.154</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.500</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.016</td>\n",
       "      <td>0.208</td>\n",
       "      <td>...</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.068</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 00:30:00</th>\n",
       "      <td>1.338</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.500</td>\n",
       "      <td>0.268</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.214</td>\n",
       "      <td>...</td>\n",
       "      <td>0.658</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.262</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 01:00:00</th>\n",
       "      <td>1.348</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.500</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.208</td>\n",
       "      <td>...</td>\n",
       "      <td>0.612</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.238</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 01:30:00</th>\n",
       "      <td>1.230</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.250</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.216</td>\n",
       "      <td>...</td>\n",
       "      <td>0.466</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.622</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.324</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.196</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 02:00:00</th>\n",
       "      <td>0.642</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.220</td>\n",
       "      <td>...</td>\n",
       "      <td>0.530</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.218</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 02:30:00</th>\n",
       "      <td>0.194</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.026</td>\n",
       "      <td>0.296</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.116</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.226</td>\n",
       "      <td>...</td>\n",
       "      <td>0.216</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.210</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 03:00:00</th>\n",
       "      <td>1.054</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.230</td>\n",
       "      <td>...</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 03:30:00</th>\n",
       "      <td>0.140</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.820</td>\n",
       "      <td>0.232</td>\n",
       "      <td>...</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.134</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.230</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 04:00:00</th>\n",
       "      <td>0.098</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.234</td>\n",
       "      <td>...</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 04:30:00</th>\n",
       "      <td>0.170</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.788</td>\n",
       "      <td>0.366</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.230</td>\n",
       "      <td>...</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.132</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.216</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 05:00:00</th>\n",
       "      <td>0.960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.218</td>\n",
       "      <td>...</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.430</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 05:30:00</th>\n",
       "      <td>0.168</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.224</td>\n",
       "      <td>...</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.258</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 06:00:00</th>\n",
       "      <td>0.068</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.218</td>\n",
       "      <td>...</td>\n",
       "      <td>0.890</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.594</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.218</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 06:30:00</th>\n",
       "      <td>0.202</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.258</td>\n",
       "      <td>...</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.380</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.588</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 07:00:00</th>\n",
       "      <td>0.112</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.382</td>\n",
       "      <td>...</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.140</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 07:30:00</th>\n",
       "      <td>0.242</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.268</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.472</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.314</td>\n",
       "      <td>...</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.162</td>\n",
       "      <td>0.176</td>\n",
       "      <td>1.676</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 08:00:00</th>\n",
       "      <td>0.300</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.368</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.336</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.232</td>\n",
       "      <td>...</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.846</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 08:30:00</th>\n",
       "      <td>0.390</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.316</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.616</td>\n",
       "      <td>...</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 09:00:00</th>\n",
       "      <td>0.246</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.254</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.168</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.314</td>\n",
       "      <td>...</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.588</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.416</td>\n",
       "      <td>0.254</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 09:30:00</th>\n",
       "      <td>0.116</td>\n",
       "      <td>0.988</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.378</td>\n",
       "      <td>0.488</td>\n",
       "      <td>1.482</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.320</td>\n",
       "      <td>...</td>\n",
       "      <td>1.800</td>\n",
       "      <td>0.256</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 10:00:00</th>\n",
       "      <td>0.476</td>\n",
       "      <td>1.312</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.538</td>\n",
       "      <td>1.512</td>\n",
       "      <td>0.978</td>\n",
       "      <td>0.412</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.404</td>\n",
       "      <td>...</td>\n",
       "      <td>0.810</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.288</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 10:30:00</th>\n",
       "      <td>0.084</td>\n",
       "      <td>0.988</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.712</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.870</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.502</td>\n",
       "      <td>...</td>\n",
       "      <td>2.032</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.538</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.356</td>\n",
       "      <td>0.920</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 11:00:00</th>\n",
       "      <td>0.190</td>\n",
       "      <td>0.976</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.846</td>\n",
       "      <td>0.238</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.430</td>\n",
       "      <td>...</td>\n",
       "      <td>1.226</td>\n",
       "      <td>0.290</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.412</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 11:30:00</th>\n",
       "      <td>0.072</td>\n",
       "      <td>0.776</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.836</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.386</td>\n",
       "      <td>...</td>\n",
       "      <td>0.858</td>\n",
       "      <td>0.388</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.128</td>\n",
       "      <td>0.312</td>\n",
       "      <td>1.946</td>\n",
       "      <td>0.238</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 12:00:00</th>\n",
       "      <td>0.194</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.616</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.936</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.332</td>\n",
       "      <td>...</td>\n",
       "      <td>1.574</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.130</td>\n",
       "      <td>0.200</td>\n",
       "      <td>1.996</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 12:30:00</th>\n",
       "      <td>0.126</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.514</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.968</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.312</td>\n",
       "      <td>...</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.162</td>\n",
       "      <td>1.946</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.386</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 13:00:00</th>\n",
       "      <td>0.150</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.188</td>\n",
       "      <td>3.700</td>\n",
       "      <td>0.960</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.302</td>\n",
       "      <td>...</td>\n",
       "      <td>0.502</td>\n",
       "      <td>0.266</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.176</td>\n",
       "      <td>2.108</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.386</td>\n",
       "      <td>0.288</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 13:30:00</th>\n",
       "      <td>0.168</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.088</td>\n",
       "      <td>2.710</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.326</td>\n",
       "      <td>...</td>\n",
       "      <td>0.704</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.130</td>\n",
       "      <td>0.162</td>\n",
       "      <td>2.938</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.386</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 14:00:00</th>\n",
       "      <td>0.096</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.950</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.966</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.320</td>\n",
       "      <td>...</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.130</td>\n",
       "      <td>0.162</td>\n",
       "      <td>1.890</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-01 14:30:00</th>\n",
       "      <td>0.184</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.568</td>\n",
       "      <td>0.088</td>\n",
       "      <td>2.532</td>\n",
       "      <td>0.950</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.506</td>\n",
       "      <td>...</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.086</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.200</td>\n",
       "      <td>1.042</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.524</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 09:00:00</th>\n",
       "      <td>0.254</td>\n",
       "      <td>1.476</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.198</td>\n",
       "      <td>1.038</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.612</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.784</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.904</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 09:30:00</th>\n",
       "      <td>0.544</td>\n",
       "      <td>1.700</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.812</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.348</td>\n",
       "      <td>...</td>\n",
       "      <td>0.642</td>\n",
       "      <td>0.882</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.538</td>\n",
       "      <td>0.302</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 10:00:00</th>\n",
       "      <td>0.356</td>\n",
       "      <td>2.450</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.174</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.330</td>\n",
       "      <td>...</td>\n",
       "      <td>0.548</td>\n",
       "      <td>0.988</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.738</td>\n",
       "      <td>0.234</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.444</td>\n",
       "      <td>1.384</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 10:30:00</th>\n",
       "      <td>0.138</td>\n",
       "      <td>2.762</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.378</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.316</td>\n",
       "      <td>...</td>\n",
       "      <td>0.360</td>\n",
       "      <td>0.976</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.812</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 11:00:00</th>\n",
       "      <td>0.208</td>\n",
       "      <td>1.650</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.788</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.334</td>\n",
       "      <td>...</td>\n",
       "      <td>0.548</td>\n",
       "      <td>0.964</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.324</td>\n",
       "      <td>1.162</td>\n",
       "      <td>0.464</td>\n",
       "      <td>1.616</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 11:30:00</th>\n",
       "      <td>0.144</td>\n",
       "      <td>2.126</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.310</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.324</td>\n",
       "      <td>...</td>\n",
       "      <td>0.748</td>\n",
       "      <td>1.008</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.588</td>\n",
       "      <td>1.050</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.936</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 12:00:00</th>\n",
       "      <td>0.158</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.242</td>\n",
       "      <td>1.076</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.712</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.314</td>\n",
       "      <td>...</td>\n",
       "      <td>1.114</td>\n",
       "      <td>0.922</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.322</td>\n",
       "      <td>1.050</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 12:30:00</th>\n",
       "      <td>0.172</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.210</td>\n",
       "      <td>1.200</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.256</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.384</td>\n",
       "      <td>...</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.862</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.304</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.938</td>\n",
       "      <td>0.654</td>\n",
       "      <td>1.422</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 13:00:00</th>\n",
       "      <td>0.146</td>\n",
       "      <td>2.662</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.302</td>\n",
       "      <td>0.762</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.528</td>\n",
       "      <td>...</td>\n",
       "      <td>0.496</td>\n",
       "      <td>0.960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.576</td>\n",
       "      <td>0.230</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.726</td>\n",
       "      <td>1.022</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 13:30:00</th>\n",
       "      <td>0.180</td>\n",
       "      <td>2.638</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.284</td>\n",
       "      <td>0.988</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.612</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.536</td>\n",
       "      <td>...</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.588</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.666</td>\n",
       "      <td>1.666</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 14:00:00</th>\n",
       "      <td>0.552</td>\n",
       "      <td>2.438</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.204</td>\n",
       "      <td>0.888</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.106</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.332</td>\n",
       "      <td>...</td>\n",
       "      <td>0.712</td>\n",
       "      <td>0.772</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.612</td>\n",
       "      <td>0.748</td>\n",
       "      <td>1.528</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 14:30:00</th>\n",
       "      <td>0.212</td>\n",
       "      <td>1.788</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.264</td>\n",
       "      <td>0.738</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.398</td>\n",
       "      <td>...</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.630</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.626</td>\n",
       "      <td>1.380</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 15:00:00</th>\n",
       "      <td>0.080</td>\n",
       "      <td>1.450</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.562</td>\n",
       "      <td>...</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.276</td>\n",
       "      <td>1.288</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.678</td>\n",
       "      <td>1.016</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 15:30:00</th>\n",
       "      <td>0.282</td>\n",
       "      <td>0.862</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.106</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.496</td>\n",
       "      <td>...</td>\n",
       "      <td>0.724</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.162</td>\n",
       "      <td>1.304</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.620</td>\n",
       "      <td>0.822</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 16:00:00</th>\n",
       "      <td>0.098</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.204</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.088</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.502</td>\n",
       "      <td>...</td>\n",
       "      <td>0.616</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.744</td>\n",
       "      <td>0.076</td>\n",
       "      <td>1.408</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 16:30:00</th>\n",
       "      <td>0.232</td>\n",
       "      <td>0.288</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.542</td>\n",
       "      <td>...</td>\n",
       "      <td>0.502</td>\n",
       "      <td>0.072</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.388</td>\n",
       "      <td>0.050</td>\n",
       "      <td>1.364</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 17:00:00</th>\n",
       "      <td>0.110</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.156</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.614</td>\n",
       "      <td>...</td>\n",
       "      <td>0.748</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.466</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.082</td>\n",
       "      <td>0.012</td>\n",
       "      <td>2.368</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 17:30:00</th>\n",
       "      <td>0.386</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.180</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.578</td>\n",
       "      <td>...</td>\n",
       "      <td>1.006</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.814</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.914</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.668</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 18:00:00</th>\n",
       "      <td>0.350</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.606</td>\n",
       "      <td>...</td>\n",
       "      <td>1.136</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.352</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.786</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 18:30:00</th>\n",
       "      <td>0.368</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.700</td>\n",
       "      <td>...</td>\n",
       "      <td>1.480</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.350</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.154</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 19:00:00</th>\n",
       "      <td>0.174</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.600</td>\n",
       "      <td>...</td>\n",
       "      <td>0.862</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.830</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.722</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 19:30:00</th>\n",
       "      <td>0.332</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.564</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.556</td>\n",
       "      <td>...</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.754</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.728</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.290</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 20:00:00</th>\n",
       "      <td>0.448</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.704</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.956</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.458</td>\n",
       "      <td>...</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.664</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.564</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 20:30:00</th>\n",
       "      <td>0.990</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.012</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.164</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.208</td>\n",
       "      <td>...</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.718</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.738</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.476</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 21:00:00</th>\n",
       "      <td>0.518</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.958</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.202</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.222</td>\n",
       "      <td>...</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.386</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.464</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 21:30:00</th>\n",
       "      <td>0.234</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.966</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.206</td>\n",
       "      <td>...</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.394</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.202</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 22:00:00</th>\n",
       "      <td>0.164</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.994</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.196</td>\n",
       "      <td>...</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.606</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.606</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.964</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 22:30:00</th>\n",
       "      <td>0.136</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.290</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.156</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.210</td>\n",
       "      <td>...</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.140</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.872</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 23:00:00</th>\n",
       "      <td>0.184</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.284</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.216</td>\n",
       "      <td>...</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.632</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31 23:30:00</th>\n",
       "      <td>0.090</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.176</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.154</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.214</td>\n",
       "      <td>...</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.404</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.380</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.962</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2976 rows × 738 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Customer               1                    2                    3           \\\n",
       "Channel                 GC     GG     CL     GC     GG     CL     GC     GG   \n",
       "2011-07-01 00:00:00  2.154  0.000  2.500  0.552  0.000  0.000  0.120  0.000   \n",
       "2011-07-01 00:30:00  1.338  0.000  2.500  0.268  0.000  0.000  0.124  0.000   \n",
       "2011-07-01 01:00:00  1.348  0.000  2.500  0.338  0.000  0.000  0.120  0.000   \n",
       "2011-07-01 01:30:00  1.230  0.000  1.250  0.370  0.000  0.000  0.118  0.000   \n",
       "2011-07-01 02:00:00  0.642  0.000  0.438  0.282  0.000  0.000  0.120  0.000   \n",
       "2011-07-01 02:30:00  0.194  0.000  2.026  0.296  0.000  0.000  0.116  0.000   \n",
       "2011-07-01 03:00:00  1.054  0.000  0.000  0.370  0.000  0.000  0.118  0.000   \n",
       "2011-07-01 03:30:00  0.140  0.000  0.000  0.316  0.000  0.000  0.142  0.000   \n",
       "2011-07-01 04:00:00  0.098  0.000  0.250  0.262  0.000  0.000  0.124  0.000   \n",
       "2011-07-01 04:30:00  0.170  0.000  1.788  0.366  0.000  0.000  0.124  0.000   \n",
       "2011-07-01 05:00:00  0.960  0.000  0.000  0.480  0.000  0.000  0.122  0.000   \n",
       "2011-07-01 05:30:00  0.168  0.000  0.000  0.286  0.000  0.000  0.100  0.000   \n",
       "2011-07-01 06:00:00  0.068  0.000  0.000  0.440  0.000  0.000  0.100  0.000   \n",
       "2011-07-01 06:30:00  0.202  0.000  0.000  0.362  0.000  0.000  0.100  0.000   \n",
       "2011-07-01 07:00:00  0.112  0.000  0.000  0.336  0.000  0.000  0.380  0.000   \n",
       "2011-07-01 07:30:00  0.242  0.150  0.000  0.268  0.038  0.000  3.472  0.026   \n",
       "2011-07-01 08:00:00  0.300  0.138  0.000  0.368  0.050  0.000  1.336  0.026   \n",
       "2011-07-01 08:30:00  0.390  0.250  0.000  0.338  0.050  0.000  1.316  0.112   \n",
       "2011-07-01 09:00:00  0.246  0.526  0.000  0.254  0.326  0.000  1.168  0.176   \n",
       "2011-07-01 09:30:00  0.116  0.988  0.000  0.378  0.488  1.482  1.000  0.112   \n",
       "2011-07-01 10:00:00  0.476  1.312  0.000  0.372  0.538  1.512  0.978  0.412   \n",
       "2011-07-01 10:30:00  0.084  0.988  0.000  0.372  0.712  0.000  0.870  0.488   \n",
       "2011-07-01 11:00:00  0.190  0.976  0.000  0.340  0.726  0.000  0.846  0.238   \n",
       "2011-07-01 11:30:00  0.072  0.776  0.000  0.558  0.300  0.000  0.836  0.262   \n",
       "2011-07-01 12:00:00  0.194  0.562  0.000  0.616  0.426  0.000  0.936  0.462   \n",
       "2011-07-01 12:30:00  0.126  0.112  0.000  0.514  0.126  0.000  0.968  0.150   \n",
       "2011-07-01 13:00:00  0.150  0.350  0.000  0.572  0.188  3.700  0.960  0.112   \n",
       "2011-07-01 13:30:00  0.168  0.376  0.000  0.578  0.088  2.710  0.990  0.076   \n",
       "2011-07-01 14:00:00  0.096  0.476  0.000  0.950  0.138  0.000  0.966  0.050   \n",
       "2011-07-01 14:30:00  0.184  0.400  0.000  1.568  0.088  2.532  0.950  0.050   \n",
       "...                    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2011-08-31 09:00:00  0.254  1.476  0.000  0.198  1.038  0.000  0.124  0.612   \n",
       "2011-08-31 09:30:00  0.544  1.700  0.000  0.434  0.812  0.000  0.100  0.726   \n",
       "2011-08-31 10:00:00  0.356  2.450  0.000  0.308  0.350  0.000  0.174  0.600   \n",
       "2011-08-31 10:30:00  0.138  2.762  0.000  0.378  0.188  0.000  0.236  0.476   \n",
       "2011-08-31 11:00:00  0.208  1.650  0.000  0.228  0.750  0.000  0.318  0.788   \n",
       "2011-08-31 11:30:00  0.144  2.126  0.000  0.310  0.400  0.000  0.322  0.650   \n",
       "2011-08-31 12:00:00  0.158  0.726  0.000  0.242  1.076  0.000  0.236  0.712   \n",
       "2011-08-31 12:30:00  0.172  0.662  0.000  0.210  1.200  0.000  0.256  0.688   \n",
       "2011-08-31 13:00:00  0.146  2.662  0.000  0.302  0.762  0.000  0.150  0.662   \n",
       "2011-08-31 13:30:00  0.180  2.638  0.000  0.284  0.988  0.000  0.120  0.612   \n",
       "2011-08-31 14:00:00  0.552  2.438  0.000  0.204  0.888  0.000  0.106  0.512   \n",
       "2011-08-31 14:30:00  0.212  1.788  0.000  0.264  0.738  0.000  0.102  0.438   \n",
       "2011-08-31 15:00:00  0.080  1.450  0.000  0.298  0.562  0.000  0.102  0.326   \n",
       "2011-08-31 15:30:00  0.282  0.862  0.000  0.244  0.376  0.000  0.106  0.200   \n",
       "2011-08-31 16:00:00  0.098  0.600  0.000  0.204  0.200  0.000  0.186  0.088   \n",
       "2011-08-31 16:30:00  0.232  0.288  0.000  0.300  0.038  0.000  0.148  0.026   \n",
       "2011-08-31 17:00:00  0.110  0.076  0.000  0.376  0.012  0.000  0.156  0.012   \n",
       "2011-08-31 17:30:00  0.386  0.000  0.000  0.686  0.000  0.000  0.180  0.000   \n",
       "2011-08-31 18:00:00  0.350  0.000  0.000  1.000  0.000  0.000  0.158  0.000   \n",
       "2011-08-31 18:30:00  0.368  0.000  0.000  0.646  0.000  0.000  0.166  0.000   \n",
       "2011-08-31 19:00:00  0.174  0.000  0.000  0.550  0.000  0.000  0.166  0.000   \n",
       "2011-08-31 19:30:00  0.332  0.000  0.000  0.564  0.000  0.046  0.160  0.000   \n",
       "2011-08-31 20:00:00  0.448  0.000  0.000  0.704  0.000  2.956  0.158  0.000   \n",
       "2011-08-31 20:30:00  0.990  0.000  0.000  2.012  0.000  0.000  0.164  0.000   \n",
       "2011-08-31 21:00:00  0.518  0.000  0.000  2.958  0.000  0.000  0.202  0.000   \n",
       "2011-08-31 21:30:00  0.234  0.000  0.000  2.966  0.000  0.000  0.194  0.000   \n",
       "2011-08-31 22:00:00  0.164  0.000  0.000  2.994  0.000  0.000  0.232  0.000   \n",
       "2011-08-31 22:30:00  0.136  0.000  0.000  2.290  0.000  0.000  0.156  0.000   \n",
       "2011-08-31 23:00:00  0.184  0.000  0.000  0.284  0.000  0.000  0.330  0.000   \n",
       "2011-08-31 23:30:00  0.090  0.000  2.176  0.438  0.000  0.000  0.154  0.000   \n",
       "\n",
       "Customer                      4    ...      297                  298         \\\n",
       "Channel                 CL     GC  ...       GC     GG     CL     GC     GG   \n",
       "2011-07-01 00:00:00  4.016  0.208  ...    0.536  0.000  0.000  0.200  0.000   \n",
       "2011-07-01 00:30:00  0.436  0.214  ...    0.658  0.000  0.000  0.136  0.000   \n",
       "2011-07-01 01:00:00  0.000  0.208  ...    0.612  0.000  0.000  0.136  0.000   \n",
       "2011-07-01 01:30:00  0.000  0.216  ...    0.466  0.000  2.622  0.136  0.000   \n",
       "2011-07-01 02:00:00  0.000  0.220  ...    0.530  0.000  0.000  0.138  0.000   \n",
       "2011-07-01 02:30:00  0.000  0.226  ...    0.216  0.000  0.000  0.126  0.000   \n",
       "2011-07-01 03:00:00  0.000  0.230  ...    0.362  0.000  0.000  0.136  0.000   \n",
       "2011-07-01 03:30:00  1.820  0.232  ...    0.454  0.000  0.000  0.134  0.000   \n",
       "2011-07-01 04:00:00  0.336  0.234  ...    0.320  0.000  0.000  0.138  0.000   \n",
       "2011-07-01 04:30:00  0.000  0.230  ...    0.452  0.000  0.000  0.132  0.000   \n",
       "2011-07-01 05:00:00  0.000  0.218  ...    0.330  0.000  0.000  0.430  0.000   \n",
       "2011-07-01 05:30:00  0.000  0.224  ...    0.400  0.000  0.000  0.674  0.000   \n",
       "2011-07-01 06:00:00  0.000  0.218  ...    0.890  0.002  0.066  0.594  0.000   \n",
       "2011-07-01 06:30:00  0.000  0.258  ...    0.370  0.000  2.380  0.190  0.000   \n",
       "2011-07-01 07:00:00  0.000  0.382  ...    0.400  0.000  0.000  0.140  0.038   \n",
       "2011-07-01 07:30:00  0.000  0.314  ...    0.282  0.032  0.000  0.162  0.176   \n",
       "2011-07-01 08:00:00  0.000  0.232  ...    0.582  0.038  0.000  0.148  0.312   \n",
       "2011-07-01 08:30:00  0.000  0.616  ...    0.622  0.262  0.000  0.136  0.212   \n",
       "2011-07-01 09:00:00  0.000  0.314  ...    0.462  0.588  0.000  0.126  0.188   \n",
       "2011-07-01 09:30:00  0.000  0.320  ...    1.800  0.256  0.000  0.126  0.438   \n",
       "2011-07-01 10:00:00  0.000  0.404  ...    0.810  0.212  0.000  0.126  0.562   \n",
       "2011-07-01 10:30:00  0.000  0.502  ...    2.032  0.318  0.000  0.122  0.538   \n",
       "2011-07-01 11:00:00  0.000  0.430  ...    1.226  0.290  0.000  0.126  0.412   \n",
       "2011-07-01 11:30:00  0.000  0.386  ...    0.858  0.388  0.000  0.128  0.312   \n",
       "2011-07-01 12:00:00  0.000  0.332  ...    1.574  0.272  0.000  0.130  0.200   \n",
       "2011-07-01 12:30:00  0.000  0.312  ...    0.648  0.340  0.000  0.126  0.162   \n",
       "2011-07-01 13:00:00  0.000  0.302  ...    0.502  0.266  0.000  0.126  0.176   \n",
       "2011-07-01 13:30:00  0.000  0.326  ...    0.704  0.190  0.000  0.130  0.162   \n",
       "2011-07-01 14:00:00  0.000  0.320  ...    0.654  0.188  0.000  0.130  0.162   \n",
       "2011-07-01 14:30:00  0.000  0.506  ...    0.768  0.086  0.000  0.122  0.200   \n",
       "...                    ...    ...  ...      ...    ...    ...    ...    ...   \n",
       "2011-08-31 09:00:00  0.000  0.356  ...    0.236  0.784  0.000  0.298  0.100   \n",
       "2011-08-31 09:30:00  0.000  0.348  ...    0.642  0.882  0.000  0.300  0.538   \n",
       "2011-08-31 10:00:00  0.000  0.330  ...    0.548  0.988  0.000  0.298  0.738   \n",
       "2011-08-31 10:30:00  0.000  0.316  ...    0.360  0.976  0.000  0.322  0.800   \n",
       "2011-08-31 11:00:00  0.000  0.334  ...    0.548  0.964  0.000  0.298  0.326   \n",
       "2011-08-31 11:30:00  0.000  0.324  ...    0.748  1.008  0.000  0.298  0.312   \n",
       "2011-08-31 12:00:00  0.000  0.314  ...    1.114  0.922  0.000  0.410  0.550   \n",
       "2011-08-31 12:30:00  0.000  0.384  ...    0.710  0.862  0.000  0.304  0.662   \n",
       "2011-08-31 13:00:00  0.000  0.528  ...    0.496  0.960  0.000  0.350  0.576   \n",
       "2011-08-31 13:30:00  0.000  0.536  ...    0.638  0.874  0.000  0.274  0.588   \n",
       "2011-08-31 14:00:00  0.000  0.332  ...    0.712  0.772  0.000  0.326  0.476   \n",
       "2011-08-31 14:30:00  0.000  0.398  ...    0.618  0.630  0.000  0.280  0.338   \n",
       "2011-08-31 15:00:00  0.000  0.562  ...    0.676  0.510  0.000  0.322  0.276   \n",
       "2011-08-31 15:30:00  0.000  0.496  ...    0.724  0.286  0.000  0.342  0.162   \n",
       "2011-08-31 16:00:00  0.000  0.502  ...    0.616  0.126  0.000  0.744  0.076   \n",
       "2011-08-31 16:30:00  0.000  0.542  ...    0.502  0.072  0.000  0.388  0.050   \n",
       "2011-08-31 17:00:00  0.000  0.614  ...    0.748  0.016  0.000  0.466  0.000   \n",
       "2011-08-31 17:30:00  0.000  0.578  ...    1.006  0.000  0.000  0.814  0.000   \n",
       "2011-08-31 18:00:00  0.000  0.606  ...    1.136  0.000  0.000  0.918  0.000   \n",
       "2011-08-31 18:30:00  0.000  0.700  ...    1.480  0.000  0.000  0.654  0.000   \n",
       "2011-08-31 19:00:00  0.000  0.600  ...    0.862  0.000  0.000  0.830  0.000   \n",
       "2011-08-31 19:30:00  0.000  0.556  ...    0.766  0.000  0.000  0.754  0.000   \n",
       "2011-08-31 20:00:00  0.000  0.458  ...    0.678  0.000  0.000  0.766  0.000   \n",
       "2011-08-31 20:30:00  0.000  0.208  ...    0.350  0.000  0.000  0.718  0.000   \n",
       "2011-08-31 21:00:00  0.000  0.222  ...    0.568  0.000  0.000  0.700  0.000   \n",
       "2011-08-31 21:30:00  0.000  0.206  ...    0.638  0.000  0.000  0.674  0.000   \n",
       "2011-08-31 22:00:00  0.000  0.196  ...    0.582  0.000  1.606  0.622  0.000   \n",
       "2011-08-31 22:30:00  0.000  0.210  ...    0.542  0.000  3.140  0.686  0.000   \n",
       "2011-08-31 23:00:00  0.000  0.216  ...    0.508  0.000  0.000  0.562  0.000   \n",
       "2011-08-31 23:30:00  0.000  0.214  ...    0.326  0.000  0.000  0.450  0.000   \n",
       "\n",
       "Customer               299           300                \n",
       "Channel                 GC     GG     GC     GG     CL  \n",
       "2011-07-01 00:00:00  0.280  0.000  2.068  0.000  5.066  \n",
       "2011-07-01 00:30:00  0.320  0.000  1.262  0.000  0.530  \n",
       "2011-07-01 01:00:00  0.232  0.000  0.238  0.000  0.000  \n",
       "2011-07-01 01:30:00  0.324  0.000  0.196  0.000  0.000  \n",
       "2011-07-01 02:00:00  0.276  0.000  0.218  0.000  0.000  \n",
       "2011-07-01 02:30:00  0.278  0.000  0.210  0.000  0.000  \n",
       "2011-07-01 03:00:00  0.314  0.000  0.194  0.000  0.000  \n",
       "2011-07-01 03:30:00  0.252  0.000  0.230  0.000  0.000  \n",
       "2011-07-01 04:00:00  0.322  0.000  0.160  0.000  0.000  \n",
       "2011-07-01 04:30:00  0.216  0.000  0.250  0.000  0.000  \n",
       "2011-07-01 05:00:00  0.326  0.000  0.860  0.000  0.000  \n",
       "2011-07-01 05:30:00  0.258  0.000  0.506  0.000  1.942  \n",
       "2011-07-01 06:00:00  0.278  0.000  0.218  0.000  1.810  \n",
       "2011-07-01 06:30:00  0.588  0.000  0.226  0.000  0.000  \n",
       "2011-07-01 07:00:00  0.866  0.000  0.654  0.008  0.000  \n",
       "2011-07-01 07:30:00  1.676  0.012  0.250  0.094  0.000  \n",
       "2011-07-01 08:00:00  0.846  0.038  0.232  0.158  0.000  \n",
       "2011-07-01 08:30:00  0.554  0.138  0.498  0.194  0.000  \n",
       "2011-07-01 09:00:00  0.178  0.226  0.416  0.254  0.000  \n",
       "2011-07-01 09:30:00  0.246  0.312  0.380  0.662  0.000  \n",
       "2011-07-01 10:00:00  0.454  0.288  0.426  0.650  0.000  \n",
       "2011-07-01 10:30:00  0.362  0.276  0.356  0.920  0.000  \n",
       "2011-07-01 11:00:00  0.734  0.326  0.408  0.596  0.000  \n",
       "2011-07-01 11:30:00  1.946  0.238  0.422  0.448  0.000  \n",
       "2011-07-01 12:00:00  1.996  0.176  0.410  0.348  0.000  \n",
       "2011-07-01 12:30:00  1.946  0.062  0.362  0.386  0.000  \n",
       "2011-07-01 13:00:00  2.108  0.200  0.386  0.288  0.000  \n",
       "2011-07-01 13:30:00  2.938  0.200  0.568  0.386  0.000  \n",
       "2011-07-01 14:00:00  1.890  0.188  0.560  0.422  0.000  \n",
       "2011-07-01 14:30:00  1.042  0.200  0.524  0.586  0.000  \n",
       "...                    ...    ...    ...    ...    ...  \n",
       "2011-08-31 09:00:00  0.300  0.688  0.560  0.904  0.000  \n",
       "2011-08-31 09:30:00  0.302  0.750  0.582  0.680  0.000  \n",
       "2011-08-31 10:00:00  0.234  0.400  0.444  1.384  0.000  \n",
       "2011-08-31 10:30:00  0.332  0.812  0.512  0.700  0.000  \n",
       "2011-08-31 11:00:00  0.324  1.162  0.464  1.616  0.000  \n",
       "2011-08-31 11:30:00  0.588  1.050  0.484  0.936  0.000  \n",
       "2011-08-31 12:00:00  0.322  1.050  0.486  0.720  0.000  \n",
       "2011-08-31 12:30:00  0.318  0.938  0.654  1.422  0.000  \n",
       "2011-08-31 13:00:00  0.230  0.438  0.726  1.022  0.000  \n",
       "2011-08-31 13:30:00  0.314  0.638  0.666  1.666  0.000  \n",
       "2011-08-31 14:00:00  0.312  0.612  0.748  1.528  0.000  \n",
       "2011-08-31 14:30:00  0.228  0.462  0.626  1.380  0.000  \n",
       "2011-08-31 15:00:00  1.288  0.500  0.678  1.016  0.000  \n",
       "2011-08-31 15:30:00  1.304  0.462  0.620  0.822  0.000  \n",
       "2011-08-31 16:00:00  1.408  0.188  0.654  0.340  0.000  \n",
       "2011-08-31 16:30:00  1.364  0.076  0.632  0.390  0.000  \n",
       "2011-08-31 17:00:00  1.082  0.012  2.368  0.030  0.000  \n",
       "2011-08-31 17:30:00  1.914  0.000  3.668  0.000  0.000  \n",
       "2011-08-31 18:00:00  2.352  0.000  2.786  0.000  0.000  \n",
       "2011-08-31 18:30:00  2.350  0.000  2.154  0.000  0.000  \n",
       "2011-08-31 19:00:00  1.722  0.000  0.792  0.000  0.000  \n",
       "2011-08-31 19:30:00  1.728  0.000  1.290  0.000  0.000  \n",
       "2011-08-31 20:00:00  1.664  0.000  1.564  0.000  0.000  \n",
       "2011-08-31 20:30:00  1.738  0.000  1.476  0.000  0.000  \n",
       "2011-08-31 21:00:00  1.386  0.000  1.464  0.000  0.000  \n",
       "2011-08-31 21:30:00  0.394  0.000  1.202  0.000  0.000  \n",
       "2011-08-31 22:00:00  0.606  0.000  0.964  0.000  0.000  \n",
       "2011-08-31 22:30:00  0.500  0.000  1.872  0.000  0.000  \n",
       "2011-08-31 23:00:00  0.608  0.000  1.632  0.000  0.000  \n",
       "2011-08-31 23:30:00  0.404  0.000  2.380  0.000  4.962  \n",
       "\n",
       "[2976 rows x 738 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['2011-07':'2011-08']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6], dtype='int64')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.month.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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